Pelago is the world’s leading virtual clinic for substance use management. 

We are transforming substance use support—from prevention to treatment—delivering education, management skills, and opportunities for positive change to members struggling with substance use, most commonly tobacco, alcohol, opioids, and cannabis. 

Our solution gives employers the means to offer on-demand, personalized support to workers seeking to live healthier lives. Pelago’s cognitive behavioral therapy (CBT) and medication-assisted treatment (MAT) programs deliver convenient, accessible, and effective support that seamlessly integrates with health plans, pharmacy benefit managers, and wellness platforms. 

Visit www.pelagohealth.com for more information.

Industry: Hospitals and Health Care
Company Size: 51-200 employees

Pelago

Savvy Admin PROD

Pelago is the world’s leading virtual clinic for Substance Use Management. Our program provides guidance, support and treatment for members seeking to overcome their tobacco, alcohol and opioid use. From unhealthy habits to active substance use disorders, Pelago delivers a personalized solution based on individual health, habits, genetics, and goals, providing care for members wherever they might be on the substance use spectrum.

Pelago's suite of virtual services ranges from education, to cognitive behavioral therapy (CBT) to comprehensive medication-assisted treatment (MAT). Pelago enables employers and health plans to deliver accessible, affordable, and effective treatment for substance misuse.

Pelago has scaled to helping hundreds of employers and health plans and has already helped more than 750,000 members manage their substance use better. We have recently closed our Series C and raised over $151m from leading global investors. If you are passionate about making an impact on the health of others, join us and make it happen!

**About Pelago Data**

Our Data team sits at the center of how Pelago makes decisions. As we scale, we’re evolving our data function to bridge the gap between raw data and real business insight.

We transform complex healthcare and product data into clean, reliable, and well-documented models that power reporting, experimentation, AI initiatives, and day-to-day decision-making across the company.

**Overview Of The Role**

We’re looking for an Analytics Engineer who loves building scalable data models, thinking deeply about business logic, and creating reusable data assets.

In this role, you’ll help shape how data is structured and defined across Pelago—ensuring consistency, quality, and usability for everything from dashboards to experimentation to future machine learning use cases.

**What You’ll Do**

**Build the foundation for analytics**

- Design, build, and maintain scalable dbt models for analytics and reporting

- Develop modular, well-documented transformation logic in Redshift

- Optimize performance and maintainability of transformation pipelines

- Implement testing, validation, and observability standards to ensure data quality

**Own business logic and metrics**

- Translate ambiguous business requirements into structured, reusable data models

- Define and maintain standardized KPIs and metric logic

- Own and evolve Pelago’s semantic layer to ensure consistency across teams

- Build reusable data marts for dashboards, experimentation, ROI analysis, and AI workflows

- Reduce metric inconsistencies and reporting fragmentation

**Partner across the business**

- Work closely with Data Engineering to ensure reliable upstream pipelines

- Collaborate with Product, Clinical, Client Success, Finance, and Growth teams

- Support Data Analysts with clean, analysis-ready datasets

- Contribute to documentation, data governance, and analytics best practices

**Enable advanced analytics**

- Structure data for experimentation, personalization, ROI measurement, and AI initiatives

- Prepare datasets for downstream data science and machine learning workflows

- Identify opportunities to improve analytics velocity through better modeling and abstraction

**Required**

**What We Look For:**

- 3+ years of experience in analytics engineering, data analytics, or data modeling

- Advanced SQL skills and experience building production-grade data models

- Strong understanding of data warehousing concepts and dimensional modeling

- Experience with dbt and analytics engineering best practices

- Experience working in a modern data stack (Redshift, Snowflake, or similar)

- Proven ability to translate business needs into scalable data solutions

- Experience working in cross-functional, agile environments

**Preferred**

- Experience with Looker or similar BI tools and semantic layer design

- Familiarity with healthcare data or regulated environments

- Experience supporting experimentation, ROI measurement, or product analytics

- Exposure to AI/ML data preparation or feature-ready modeling

- Experience implementing data quality testing and observability frameworks

**What You'll Love About Us**

We have a whole host of perks for our people! From life essentials to nice-to-haves, there are more than a few good reasons to love working with us. We strive to ensure Pelago employees have equitable access to healthcare, wellbeing, time away, and then some.

- Generous and meaningful equity package

- Private Health Coverage

- Pension Plan

- Unlimited PTO Policy, Bank Holidays, & company wide “Me Time Days”

- Paid maternity, paternity, & new parent leave

- Flexible working environment

- Annual Learning and Development stipend to support continued learning and career development

- Wellness Reimbursement Program

- Access to Reproductive & Family Planning Care

- Substance Use Support for employees and family members

**At this time, we are unable to offer visa sponsorship for this position.**

**Before You Apply, See How We Build.**

We write about our technical decisions, product philosophy, and the real challenges of scaling behavioral health. **Read the blog → ** https://pelagohealth.ai/

The provided range reflects our US target salary range for this full-time position, which is part of our broader total compensation package, including incentive bonus program, stock options, comprehensive benefits, and incentive pay applicable to eligible roles. Individual pay within the range will vary based on a variety of factors like role-related experience and education, internal pay equity, and other relevant business factors. At Pelago, we are committed to an equitable and fair pay philosophy and review total compensation for our employees at least twice a year.

Base Pay Range

$150,000 - $160,000 USD

Data Analytics Engineer

Your personal information is available for public consumption. This makes you–and the organization you work for–an easy target for abuses ranging from identity theft, robocalls, and spam texts to social engineering, and executive and employee threats. DeleteMe removes unwanted instances of personal information from online sources; making it simple for our customers to keep their personal data from being used and abused by others.

With over 35 Million individual pieces of data removed since 2010, DeleteMe is the category-defining market leader in the personal data removal space.

Industry: Software Development
Company Size: 51-200 employees

DeleteMe

**About DeleteMe:**

DeleteMe is the leader in proactive privacy protection. **We help Individuals, Families, Businesses and Security teams reduce their human attack surface ** by continuously monitoring and removing exposed personal data (PII) from the open web — the very data threat actors use to launch social engineering, phishing, Gen-AI deepfake, doxxing campaigns, physical threats, and identity fraud.

Operating as a fast-growing, global SaaS company, DeleteMe serves both consumers and enterprises. DeleteMe has completed over 100 million opt-out removals, helping customers reduce risks associated with identity theft, spam, doxxing, and other cybersecurity threats. We deliver detailed privacy reports, continuous monitoring, and expert support to ensure ongoing protection.

DeleteMe acts as a **scalable, managed defense layer ** for your most vulnerable attack vector: your people. That’s why **30% of the Fortune 100 **, top tech firms, major banks, federal agencies, and U.S. states rely on DeleteMe to protect their workforce.

DeleteMe is led by a passionate and experienced team and driven by a powerful mission to empower consumers with privacy.

**Job Summary:**

This position is a key partner across the organization, sitting within the Data Warehouse team to bridge the gap between raw data engineering and business strategy. The Data & Analytics Engineer is responsible for designing, building, and optimizing scalable data models in Snowflake using dbt, ensuring data integrity and high performance. This role balances technical warehouse architecture with the ability to translate complex business requirements into actionable data products.

**Job Responsibilities:**

- Data Modeling & Development: Architect and maintain robust, modular data models in Snowflake using dbt, following industry-standard modeling methodologies (e.g., Kimball)

- Warehouse Optimization: Write and tune advanced SQL to ensure optimal query performance, cost-efficiency, and resource management within the Snowflake environment

- Data Observability & Quality: Implement and manage automated testing, monitoring, and alerting frameworks to ensure data accuracy, freshness, and lineage

- Stakeholder Collaboration: Partner with business units to define KPIs, capture requirements, and translate business logic into technical data specifications

- End-to-End Delivery: Own the full data lifecycle from ingestion to production-grade data marts and strategic BI visualizations and dashboard building

- Engineering Excellence: Apply software engineering best practices to data development, including version control (Git), CI/CD, and detailed technical documentation

- Process Improvement: Continuous refactoring of legacy code and data structures to improve maintainability and scalability of the analytics stack

**Job Requirements:**

- Mastery of complex SQL, including window functions, CTEs, and performance tuning for large-scale datasets

- Proven experience building production-grade dbt projects, including macros, seeds, and testing suites.

- Strong understanding of Snowflake-specific features such as clustering, virtual warehouses, and zero-copy cloning.

- Deep knowledge of dimensional modeling, fact/dimension design, and data warehousing principles.

- Availability in US Eastern (EST) hours.

- Ability to understand organizational drivers and communicate technical details effectively to non-technical stakeholders.

- Strong problem-solving skills with the ability to identify root causes in data discrepancies or performance bottlenecks.

**Qualifications:**

- Bachelor’s degree in Computer Science, Data Science, Statistics, Business, or a related field.

- 3+ years of experience in Analytics Engineering, Data Engineering, or a highly technical BI role.

- Proficiency in Snowflake, dbt (with strong SQL), and data architecture.

- Proven track record of delivering end-to-end data solutions in a cloud warehouse environment.

- Strong data storytelling and presentation skills.

- Experience supporting various business functions like Finance, Operations, Sales, Marketing , preferably in SaaS.

**Nice to Have:**

- Experience with Python for data scripting or automation.

- Familiarity with data observability tools (e.g., Monte Carlo, Elementary).

- Experience in a high-growth startup environment.

- Cybersecurity experience

**What We Offer:**

- Comprehensive health benefits - Medical, Vision, Dental

- Flexible work schedule

- Generous 401k matching up to 6%

- 20 days paid time off

- 15 sick days

- 12 company-paid holidays

- Childcare expense reimbursement

- Fitness and cell phone reimbursement

- Birthday time off

- Competitive salary - We publish salary ranges to promote transparency and ensure fair compensation. Final offers are based on skills, experience, and internal equity.

- This role may require occasional domestic and international travel. All standard travel expenses will be covered in accordance with the company's travel reimbursement policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This role offers a total salary of $100,000 USD.

Data & Analytics Engineer

The industry’s only Manufacturing Operating System — built to automate, built for control, built to scale, built for you. A smarter factory.

Industry: Software Development
Company Size: 201-500 employees

Applix

**Need to have a green card or be a citizen of the US. **

**Company Description **

Applix is the creator of the manufacturing industry’s only Manufacturing Operating System (mOS), designed to bring automation, control, and scalability to modern factory environments. Focused on the “Triple Zero” vision—zero defects, zero waste, and zero delay—Applix combines industrial AI, data platforms, and engineering expertise to help manufacturers transform operations at scale. Our solutions integrate across machines, systems, and enterprise applications to enable smarter, faster, and more reliable decision-making on the factory floor.

**Role Description **

We are seeking a Senior Data & Analytics Engineer – Microsoft Fabric (COE) for a full-time, on-site role supporting a Fortune 100 enterprise in Dallas, TX. This role sits within a centralized Business Intelligence and Intelligent Automation Center of Excellence (COE) and focuses on enabling enterprise-wide adoption of Microsoft Fabric and modern analytics practices.

Rather than building isolated dashboards, you will partner with business units and engineering teams to design scalable data architectures, develop reusable assets, and guide the migration of legacy analytics environments to Fabric. You will play a key role in shaping Lakehouse architectures, semantic models, and governance frameworks while ensuring high performance, reliability, and data quality across the analytics ecosystem.

**Qualifications **

- Strong experience in data engineering, data modeling, and modern analytics platforms

- Hands-on expertise with Microsoft Fabric, including Lakehouse, Data Factory (pipelines, Dataflows Gen2), and notebooks

- Advanced proficiency in Power BI, including semantic modeling, DAX, performance tuning, and workspace design

- Solid understanding of ETL/ELT processes, medallion architecture (Bronze/Silver/Gold), and SQL-based transformations

- Experience building scalable data pipelines, reusable data assets, and governed analytics environments

- Strong troubleshooting skills across data pipelines, BI tools, and distributed data systems

- Experience with scripting or automation using Python, PowerShell, or SQL

- Ability to collaborate with cross-functional teams and communicate effectively with both technical and business stakeholders

- Experience working in enterprise environments or COE/platform enablement roles is a strong plus

- Familiarity with Azure data services, CI/CD practices, and BI platform governance is preferred

- Need to have a green card or be a citizen of the US.

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field

Senior Data & Analytics Engineer

Mercury Marine® is a world leading manufacturer of marine propulsion systems.  A $2.6 billion division of Brunswick Corporation (NYSE: BC), Mercury designs, manufactures and distributes engines, services and parts for recreational, commercial and government marine applications, empowering boaters with products that are easy to use, extremely reliable and backed by the most dedicated customer support in the world with 10,000 service points globally.  Mercury’s industry-leading brand portfolio includes Mercury outboard engines; Mercury MerCruiser sterndrive and inboard packages; Mercury global parts and accessories including propellers, and SmartCraft electronics; Power Products Integrated Solutions; MotorGuide trolling motors; Attwood, Garelick and Whale marine parts; Land ’N’ Sea, BLA, Payne’s Marine, Kellogg Marine & Lankhorst Taselaar marine parts distribution; and Mercury and Quicksilver parts and oils. More information is available at mercurymarine.com.

Industry: Manufacturing
Company Size: 5,001-10,000 employees

Mercury Marine

**Are you ready for what’s next?**

~~Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.~~

**Location: **Fond du Lac, Wisconsin

**Workplace Category **: Hybrid

**Travel Required: ** None

**Direct Reports: ** No

**Pay Range: **$86,500 - $139,300 annually.

**Visa Sponsorship: **Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.

**Relocation: ** Yes

**Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality.**

**Position Overview**

As a Data Analytics Engineer – Reliability, you will support data‑driven decision making by transforming PD&E test & validation data, warranty, customer usage and reliability data into clear, actionable insights. This role focuses on strong analytical reasoning and statistical rigor to support engineering, quality, and leadership teams.

**At Brunswick, we have passion for our work and a distinct ability to deliver.**

**Essential Functions**

- Analyze test & validation data, field performance, and customer usage data to identify trends and emerging reliability risks

- Apply statistical and analytical methods to understand variation, uncertainty, and key drivers

- Develop and maintain Power BI and/or Tableau dashboards and standardized reporting

- Build and validate SQL‑based data sources and support data modeling efforts

- Use Python for deeper analysis, automation, or advanced exploration as needed

- Partner with IT and cross‑functional teams to ensure data quality, consistency, and governance

- Communicate insights clearly to technical and non‑technical stakeholders

**Diversity of thought and experiences is fundamental when imagining the unimaginable. Certain skillsets/experiences are necessary; however, others can be developed along the way.**

**Required Qualifications**

- Bachelor’s degree in a quantitative field (Data Analytics, Statistics, Engineering, or similar)

- 3–6 years of experience in data analytics, BI, reliability, or quality analytics

- Strong analytical, statistical, and problem‑solving skills

- Strong SQL skills; experience with Power BI and/or Tableau

- Working knowledge of Python

- High attention to data accuracy and analytical rigor

**Preferred Qualifications**

- Experience with warranty, reliability, durability, or customer usage data

- Familiarity with Power BI data modeling, DAX, or Power Query

- Exposure to Six Sigma, reliability engineering, or quality systems

- Experience working in cross‑functional engineering or operations environments

The hiring range for this position is $86,500 - $139,300 annually. The actual base pay offered will vary based on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate’s qualifications and the business context.

In addition to base pay, this position is eligible for an annual discretionary bonus. This position is eligible to participate in Brunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), well-being program, product purchase discounts and much more. Details about our benefits can be found here.

~~Next is Now!~~

~~We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.~~

Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.com for support.

For more information about EEO laws, - click here

Brunswick Corporation participates in E-Verify as part of our commitment to a lawful and transparent hiring process. For additional information click here: https://www.brunswick.com/e-verify.

Brunswick and Workday Privacy Policies

Brunswick does not accept applications, inquiries or solicitations from unapproved staffing agencies or vendors. For help, please contact our support team at: hrsharedservices@brunswick.com or 866-278-6942.

All job offers will come to you via the candidate portal you create when applying through a posted position through https:///www.brunswick.com/careers. If you are ever unsure about what is being required of you during the application process or its source, please contact HR Shared Services at 866-278-6942 or HRSharedServices@brunswick.com.

#Brunswick Corporation - Mercury Marine

Data Analytics Engineer – Reliability

Find Data Analytics Engineer jobs with Savvy's AI Recruiter. Browse thousands of opportunities from top companies including remote positions. Our AI-powered system matches you with roles that fit your skills and experience.