Launched in 2011 as ZenPayroll, Gusto serves more than 300,000 businesses nationwide. Each year we process tens of billions of dollars of payroll and provide employee benefits—like health insurance and 401(k) accounts—while helping companies create incredible work places.

Through one refreshingly easy, integrated platform, we automate and simplify your payroll, benefits, and HR, all while providing expert support. You and your employees will get the peace of mind you need to do your best work.

Industry: Software Development
Company Size: 1,001-5,000 employees

Gusto

Savvy Admin PROD

**About Gusto**

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

**Preferred Qualifications**

- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products

- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)

- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.

- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.

- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.

- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems

- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines

- Proven ability to optimize performance and cost across data workflows and storage systems

- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks

- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.

- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately **2-3 days **per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

Senior Data Engineer

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. 

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. 

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. 

In India, our offices are located in Chennai, Hyderabad and Bangalore.

Industry: Business Consulting and Services
Company Size: 1,001-5,000 employees

Tiger Analytics

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

**Requirements**

- 15+ years of Program Management experience

- Coordinating multiple projects and reconciling the interdependencies among them

- Providing strategic guidance to the company's project managers

- Monitor and adjust daily program activities as needed. Monitor key performance indicators for program and program progress

- Develop best practice, processes, and standards for effectively carrying out data migration activities, conceptual understanding of data engineering and cloud technologies

- Should have been in customer facing roles in managing large engagements

- Resolving cross-program issues and strategic issues with senior stakeholders

- Prepare reports for directors and stakeholders

- Implement strategies, oversee collaboration, and define success metrics

- Ability to Strategize and outline the goals and objectives of the program, find innovative ways to resolve problems

**Life Science Experience:**

- Should have good understanding of Pharma / Life Science domain and regulatory requirements

- Should have managed large Pharma/CRO/Med devices customers

**Benefits**

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Program Manager

Knowfinity, an EdTech enterprise, champions personalized learning solutions, incubating cutting-edge programs for upskilling and guaranteed career opportunities. Rooted in a commitment to quality, Knowfinity’s emphasis is on empowering learners in data science, AI, machine learning, software testing, data analystics and Python. The company stands out by delivering tech skills ready for the future, prioritizing accessibility and comfort in acquiring essential expertise in these high-demand fields.

🌟 Our Data Science Program Features:

1️⃣ Live Doubt Sessions for interactive learning.
2️⃣ 50+ hands-on projects for practical experience.
3️⃣ Internship guaranteeing job readiness.
4️⃣ Placement aid: 5+ guaranteed interviews, unlimited support till job secured.

Industry: Education
Company Size: 2-10 employees

KNOWFINITY

We are hiring a **Data Engineer ** on behalf of one of our prestigious **Fortune 500 Healthcare clients in the United States **. This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.

The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.

**Responsibilities**

- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.

- Build and optimize data workflows using modern cloud and big data technologies.

- Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.

- Develop data integration processes across multiple healthcare and enterprise systems.

- Ensure data quality, integrity, governance, and security standards are maintained.

- Monitor and troubleshoot data pipelines and production jobs.

- Support reporting, analytics, and business intelligence initiatives.

- Participate in performance tuning and optimization of databases and data processing systems.

**Qualifications**

- 2+ years of experience as a Data Engineer or in a related data-focused role.

- Strong experience with SQL and relational databases.

- Hands-on experience with Python, PySpark, or Scala.

- Experience working with ETL tools and data pipeline development.

- Familiarity with cloud platforms such as AWS, Azure, or GCP.

- Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.

- Knowledge of data warehousing concepts and dimensional modeling.

- Strong analytical, problem-solving, and communication skills.

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

**Preferred**

- Healthcare domain experience preferred

- Exposure to HIPAA-compliant environments is an advantage

- Strong analytical and problem-solving skills

**What We Offer**

- Opportunity to work with a Fortune 500 Healthcare organization.

- Exposure to enterprise-scale cloud and data engineering projects.

- Collaborative and technology-driven work environment.

- Competitive compensation package.

- Long-term growth and career advancement opportunities.

**Work Authorization**

Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.

Skills: python,healthcare,data,gcp,aws,cloud,big data,sql,analytics,azure,data engineering,etl

Data Engineer

Since 1985, MetroPlusHealth has helped the people of New York City get quality health care at little to no cost. MetroPlusHealth is the plan of choice for over 712,000 New Yorkers, and its commercial and government-sponsored plans meet the needs of individuals, families, and workforces. The MetroPlusHealth staff speaks more than 40 languages and is as diverse as the great City it serves. MetroPlusHealth is part of NYC Health + Hospitals, the nation's largest public health system. For more information, visit metroplus.org. Join the conversation on social media at @metroplushealth.

Our Mission: We provide a caring, high-quality customer experience to preserve and improve the health and lives of New Yorkers with our integrated healthcare system.

Our Vision: To be the number one plan of choice for the communities we serve.

Our Core Values: Be caring and compassionate to all

Be customer-powered: Align daily actions to positive, impactful customer experiences; connect with internal and external customers

Be proud of what we do: Take ownership and accountability; be solutions driven

Act as a team: Build trust, empower others, and champion transparent communication

Thrive with change: Spark and support innovation, and transform our business through technology and data

Industry: Hospitals and Health Care
Company Size: 1,001-5,000 employees

MetroPlusHealth

The position of Data Engineer in Analytics and Reporting Department is responsible in managing data process design and development of ETL in SQL Server environment. This role also involves understanding business requirements and designing and developing regulatory and operational reports in a timely and consistent manner.

The Successful candidate must be self-motivated and technically strong individuals with minimum of five years of experience in SQL Server and other database development. The individual must be proficient in TSQL, SSIS development, familiar with application development life cycle. Strong project management and strong analytical skills are also required. Knowledge in healthcare membership, provider, claims data as well as familiarity with 834/837 EDI transaction is a plus.

**Scope Of Role & Responsibilities**

- Monitor, maintain, and enhance existing data processes.

- Collaborate with team members to create comprehensive documentation of workflows, data processing, and reporting logics.

- Support compliance and regulatory in providing support for reporting and auditing needs.

- Manage and prioritize concurrently projects in a timely and consistent manner.

- Develop SQL stored procedures, SSIS packages, and process module.

- Develop test cases to validate data processes, ETL workflows, and reporting logic.

**Required Education, Training & Professional Experience**

- Bachelor’s degree in Information Systems, Computer Science, Database Management, or related field.

- Minimum 5 years of programming experience in SQL Server database object development including but not limited to stored Procedures, functions, views.

- Minimum 5 years’ experience in complex healthcare data like Claims, Enrollment, Providers.

- Previous experience in business intelligence platforms, such as Tableau or Power BI

- Knowledge of .Net development, Python, Javascript, JSON, XML,

- Excellent analytical and problem-solving skills

- Ability to work effectively in a team environment and adapt to different projects and assignments quickly.

- Knowledge of EDI X12 Standards especially for transactions 837’s, 834, 277CA, 999 is a plus.

**Professional Competencies**

- Integrity and Trust

- Collaboration and Time management skills

- Functional/Technical skills

- Written/Oral Communication

- Ability to work effectively in a team environment and adapt to different projects and assignments quickly.

- Excellent analytical and problem-solving skills

#MPH50

Data Engineer (SQL, Programming, Healthcare)

Starr Insurance is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.

Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

Starr has the global knowledge, vision and relationships to help your company succeed, anywhere you do business.

Industry: Insurance
Company Size: 1,001-5,000 employees

Starr Insurance

**Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.**

**Job Description: Senior Director, Data Architecture**

**Location: ** New York, NY

**Reports to: ** Head of Data Engineering & Chief Data Officer

**Department: ** Starr Technology Group

**Overview:**

The Senior Director, Data Architecture is a pivotal leadership role responsible for championing, building, and scaling a world-class Data Architecture practice in support of Starr’s global enterprise data vision. Reporting to the Chief Data Officer, the candidate will define and deliver modern, resilient, and secure data architectures that underpin all insurance systems, capabilities, and platforms. Leveraging deep domain experience in insurance (P&C and Specialty lines), data management, modeling, and analytics, the Senior Director will translate business and technical requirements into scalable data solutions that enable the organization’s innovation, regulatory compliance, and growth objectives.

Central to this role is the development and stewardship of data architectural best practices, reference architectures, and standardized frameworks that drive consistency, quality, and governance across all data assets—spanning domains from Customer, Policy, Claims, and Financials to the augmentation of external data. The Senior Director will work collaboratively with engineering, product, analytics, and delivery teams to translate requirements into solutions, providing architectural oversight and hands-on technical delivery for strategic initiatives, and maintaining a current/future state roadmap for all data capabilities.

This leader will drive adoption of modern data technologies, advanced data modeling, cloud architectures, and data governance principles, while building the discipline and maturity of Starr’s Data Architecture organization. This position is critical for supporting the scalable growth of business intelligence, analytics, and cross-enterprise data operations across the insurance portfolio.

**Responsibilities:**

**Data Architecture Vision, Strategy & Governance**

- Define and execute the data architecture vision and strategic roadmap in close alignment with the CDO and enterprise data strategy.

- Architect scalable, resilient, and secure solutions for enterprise-wide data integration, warehousing, analytics, operational systems, and augmentation with external data sources.

- Develop and champion standardized, insurance-centric data modeling frameworks, data architecture best practices, and reference architectures to ensure quality, consistency, and performance.

**Architectural Oversight & Solution Delivery**

- Drive architectural oversight for design, build, and operate phases of critical enterprise data initiatives—including new insurance products, data platforms, modernization, digital transformation, and regulatory projects.

- Translate functional and technical requirements into robust data architectures; guide engineering, analytics, product, and delivery teams throughout the data solution lifecycle.

- Perform hands-on technical delivery and problem solving for complex, strategic initiatives, ensuring successful execution against business, compliance, and technical requirements.

- Formalize current- and future-state architectural roadmaps that support unified, global, and consistent views of Customer, Policy, Claims, Financials, and other key insurance data domains.

**Insurance Data Domain Leadership**

- Develop and maintain standardized insurance data models, schemas, and pipelines; ensure applicability across the business for operational, analytical, and regulatory purposes.

- Integrate core insurance application data (e.g., Policy Administration, Claims, Reinsurance, Financials) with enterprise data platform and external third-party sources for holistic insights.

- Lead data architecture initiatives supporting evolving requirements of actuarial, underwriting, claims, compliance, finance, and product innovation teams.

**Adoption of Modern Data Technologies & Best Practices**

- Evaluate, select, and drive adoption of cutting-edge data technologies and architectural approaches (cloud-native, distributed, streaming, data lakehouse, real-time analytics).

- Accelerate enablement of cloud-based, medallion architecture (bronze/silver/gold), data pipeline automation, metadata management, and advanced analytics infrastructure.

- Promote strong data governance integration—including quality, cataloging, lineage, privacy, security, and compliance policies—across all data architecture outputs.

**Data Organization Leadership & Team Building**

- Build and mentor a high-performing Data Architecture function, including data architects, modelers, solution designers, and technical delivery leads.

- Foster cross-team collaboration with engineering, operations, analytics, and governance teams, ensuring seamless delivery of robust data solutions across the enterprise.

**Stakeholder Engagement & Change Leadership**

- Serve as chief architectural advisor and liaison to internal and external stakeholders - educating teams on data architecture capabilities and value.

- Ensure business requirements are accurately captured and reflected in scalable technical designs; drive business adoption and platform utilization.

**Continuous Improvement, Innovation, & Risk Management**

- Champion continuous improvement in architectural processes, tooling, methodology, and capability development.

- Lead architectural risk assessment, mitigation, and proactive controls to ensure technical, business, and compliance objectives are met.

- Track and report architectural health and progress using enterprise KPIs, quality metrics, and roadmap milestones.

**Technical Skills & Requirements:**

- Advanced hands-on expertise in designing and modeling enterprise data architectures (cloud-native, hybrid, lakehouse, distributed, real-time).

- Deep experience with data management, advanced data modeling (conceptual, logical, physical), insurance data schemas, and master data/reference data frameworks.

- Proven delivery across modern data technology stacks—Databricks, Snowflake, Spark, AWS/Azure/GCP data services, streaming/data integration platforms, metadata/cataloging tools.

- Expertise in Medallion architecture, batch/streaming pipeline design, external data augmentation.

- In-depth understanding of metadata management, data governance, lineage, cataloging, residency and security/privacy frameworks.

- Familiarity with insurance business models, core platforms (Guidewire, Duck Creek, Majesco), and regulatory/compliance-driven architecture requirements.

- Ability to assess legacy and modern architectures, and transition organizations toward future state aligned with business goals.

- Experience driving transformation of architecture standards and best practices across globally distributed teams.

**Required Qualifications:**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field; advanced degree highly preferred.

- 12+ years’ experience in data architecture, data modeling, and enterprise data management with 5+ years in senior leadership roles.

- Significant insurance industry experience, ideally within P&C and Specialty, with deep understanding of industry data requirements.

- Proven track record architecting, delivering, and governing complex data solutions for operational, analytical, and regulatory purposes in global organizations.

- Expertise building and formalizing insurance data models, frameworks, and best practices.

- Experience leading architectural teams, driving transformation and adoption of modern data architectures and governance.

- Excellent technical leadership, stakeholder management, communication, and problem-solving skills.

- Professional certifications in data architecture, cloud platforms (AWS, Azure, GCP), and insurance data management are highly desirable.

An estimated salary range for this role is $200,000-$275,000

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

Senior Director, Data Architecture

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