RBA is an award-winning, national digital and technology consultancy. Our team of user experience, creative, front / back-end developers and strategic consultants are passionate about helping our clients transform their businesses through digital and technology solutions. Recognized as one of the nation’s fastest growing private companies and consistently named a Best Place to Work, RBA attracts the industry's top creative and technical talent to help our clients deliver on the promise of technology in today’s digital era.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

RBA, Inc.

Savvy Admin PROD

**Senior Data Engineer – Contract to Hire **

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Data Engineer with strong Databricks expertise to join our growing Data & Analytics practice. In this role, you’ll architect, build, and optimize modern data pipelines and Databricks Lakehouse platforms that power analytics, AI/ML, and business intelligence solutions for our clients.

You’ll partner with business stakeholders, data scientists, and engineers to design scalable, secure, and high-performance data ecosystems. The ideal candidate is comfortable solving complex data challenges, optimizing Spark workloads, and setting technical direction for Databricks-based solutions.

**Responsibilities **

• Design, build, and optimize end-to-end data pipelines within Databricks across structured, semi-structured, and unstructured data sources.

• Architect and implement cloud-based Lakehouse platforms using Databricks and Delta Lake.

• Implement Medallion (Bronze/Silver/Gold) architecture and enforce best practices for data quality, governance, and security.

• Develop and optimize ETL/ELT processes using Databricks, dbt, Airflow, or Azure Data Factory.

• Optimize Spark (PySpark/Scala) workloads for performance and cost efficiency, including cluster configuration and tuning.

• Integrate real-time streaming technologies (Kafka, Kinesis, or Event Hubs) with Databricks Structured Streaming.

• Support AI/ML initiatives by building pipelines for feature engineering, MLflow integration, and RAG use cases.

• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.

• Contribute to CI/CD practices and infrastructure-as-code (Terraform) for Databricks deployments.

• Mentor junior engineers and stay current with emerging trends in Databricks and cloud-native data platforms.

**Requirements **

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 5+ years of experience in data engineering or data platform development.

• Hands-on experience building and optimizing solutions in Databricks.

• Strong programming skills in Python or Scala and experience with Spark.

• Expertise in SQL, data modeling, and modern lakehouse architectures.

• Experience with at least one major cloud platform (Azure preferred; AWS or GCP acceptable).

• Proficiency with ETL/ELT and workflow orchestration tools (Databricks Workflows, Airflow, dbt, ADF).

• Strong understanding of CI/CD, DevOps for data, and infrastructure-as-code.

• Excellent communication skills and ability to thrive in client-facing environments.

**Preferred Qualifications **

• Databricks certifications (Associate or Professional).

• Experience with Unity Catalog and enterprise data governance.

• Familiarity with Vector Databases and semantic search use cases.

• Experience supporting AI/ML workflows and cloud-based ML services.

• Certifications in AWS, Azure, or GCP.

• Experience with BI tools such as Power BI, Tableau, or Looker.

Senior Data Engineer- Contract to Hire

We provide recruitment, consulting and IT services for our clients, which focus on maximizing their revenue generation, enhancing business productivity and improving cost management.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Saransh Inc

- Translate data science prototypes into production-grade ML services and pipelines.

- Build training and inference code with reproducibility, versioning, and automated testing.

- Implement scalable model serving (online/offline), batching, and latency/throughput optimization.

- Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).

- Collaborate with Data Engineering on feature pipelines and data contracts.

- Own production health: drift detection, performance regression, rollback strategies, and incident response."

- "5+ years software engineering with 2+ years shipping ML models to production.

- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).

- Experience with containers and orchestration (Docker/Kubernetes) and API development.

- Understanding of ML system design (data leakage, training-serving skew, drift).

- CI/CD and DevOps practices applied to ML workloads (MLOps)."

- "Experience with feature stores, model registries, and model monitoring stacks.

- GPU optimization and distributed training experience.

- Experience with responsible AI toolkits and compliance requirements."

- Python, TensorFlow, PyTorch, Docker, REST APIs

ML Engineer

We’re evolving health care so everyone can have the opportunity to live their healthiest life. It’s why we put your unique needs at the heart of everything we do, making it easy and affordable to manage health and well-being. We are delivering the right care how and when it’s needed; providing support to make smarter and healthier choices; and making prescription services easier, while helping you save money along the way. It’s everything health care should be. Together, for better health.

Optum is part of UnitedHealth Group (NYSE: UNH).

Industry: Hospitals and Health Care
Company Size: 10,001+ employees

Optum

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start **Caring. Connecting. Growing together.**

We are seeking a highly skilled Principal Data Engineer to lead the design, development, and optimization of large‑scale data platforms and analytical solutions. The ideal candidate will have deep expertise in MSSQL, AWS cloud services, Data Warehousing, Python, Airflow, and overall data management best practices, with a strong ability to lead teams, define architecture, and drive data strategy across the organization.

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

**Primary Responsibilities**

- Technical Leadership

- Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows

- Lead end‑to‑end data engineering efforts, ensuring reliability, performance, and cost‑efficient data systems

- Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration

- Collaborate with cross‑functional teams (analytics, product, engineering, business) to align data solutions with business goals

- Data Engineering & Pipeline Development

- Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow

- Manage large-scale data ingestion, transformation, and orchestration frameworks

- Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems

- Cloud & Infrastructure

- Develop and manage cloud‑native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)

- Ensure high availability, disaster recovery, and monitoring of critical data workflows

- Implement CI/CD, infrastructure‑as‑code, and DevOps practices for data engineering workloads

- Data Warehousing & Modeling

- Design and enhance enterprise data warehouses and data marts following industry best practices

- Drive dimensional modeling, data partitioning, performance tuning, and metadata management

- Ensure consistency and quality across analytical datasets and data sources

- Data Governance & Quality

- Establish data quality frameworks, lineage tracking, validation checks, and documentation

- Implement governance standards including security, compliance, and access control

- Partner with business stakeholders to define and enforce master data and reference data strategies

- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

**Required Qualifications**

- Bachelor's degree in CS or IT related field

- 10+ years of experience in Data Engineering, with at least 3+ years in a senior/principal‑level role

- 7+ years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning

- 7+ years of experience in Data Warehousing, ETL/ELT, and big‑data processing

- 5+ years of hands‑on experience with AWS Cloud for data architecture and pipeline development

- 5+ years of extensive experience with Airflow for workflow orchestration

- 3+ years of experience in Python for data engineering (Pandas, PySpark, etc.)

- 2+ years of experience in data management principles: governance, quality, lineage, and security

**Preferred Qualifications**

- Excellent leadership, communication, and cross‑team collaboration skills.

- Ability to translate business needs into scalable technical designs.

- All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

~~**Application Deadline: **This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.~~

~~At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.~~

~~UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.~~

~~UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.~~

#RPO #GREEN

Senior Data Scientist

TALENT Software Services is a Service Disabled Veteran-Owned Small Business (SDVOSB) providing the best IT Consulting and Professional Services nationwide for over 35 years. We are one of the most trusted partners for delivery of Project, Data Management, Application, and Infrastructure Services,  TALENT staffs technologies including Java, .NET, Project Management, Analytics, Architecture, and more. 

Representation that counts:  This is where top Twin Cities TALENT find their value in the local marketplace.

"It's easy to get the job done when you're surrounded by TALENT! "

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

TALENT Software Services

**Job Summary: Talent Software Services is in search of a Data Engineer for a contract position that can be worked 100% remotely. The opportunity will be for one year with a strong chance for a long-term extension.**

**Primary Responsibilities/Accountabilities:**

- Assemble large, complex data sets that meet functional / non-functional business requirements.

- Perform complex data analysis and investigation for customer requests to explain results and to make appropriate recommendations.

- Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis)

- Build processes supporting data transformation, data structures, metadata, dependency and workload management.

- A successful history of manipulating, processing and extracting value from large disconnected datasets.

- Analyze business objectives and develop data solutions to meet customer needs.

- Demonstrated ability to effectively participate in multiple, concurrent projects

- Improve and customize current data solutions to meet business functional and non-functional requirements.

- Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives.

- Perform periodic data quality reviews for internal and external data.

- Ensure timely resolution of queries and data issues.

- Look for new ways to find and collect data by researching potential new sources of information.

- Work with data and analytics experts to strive for greater functionality in our data systems.

- Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques.

- May provide consultative services to departments/divisions and committees.

- Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.).

- Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.

- Contribute to the design, configuration, and support of data, analytics, and AI environments across Google Cloud Platform (GCP) and Microsoft Azure, including Microsoft Fabric

- Build and maintain data pipelines to ingest, cleanse, transform, and curate structured and unstructured data

- Support batch and near-real-time data ingestion and transformation workflows

- Use Infrastructure as Code (IaC) tools (e.g., Terraform) to help automate cloud environment provisioning and configuration

- Configure and support cloud services related to data ingestion, integration, messaging, CI/CD, and data processing

- Assist with data modeling and performance optimization in cloud data warehouses (e.g., partitioning and clustering in BigQuery)

- Support the setup and tuning of operational databases or data-serving layers based on defined use cases

- Implement and maintain monitoring, logging, and alerting for data pipelines and platforms

- Write and maintain data transformations using SQL and Python

- Collaborate with engineers, analysts, and product teams in an iterative, product-focused environment

**Qualifications:**

- Interpersonal skills and time management skills.

- Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service.

- Experience with data analysis, quality, and profiling; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics.

- Strong knowledge of SQL required. Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining

- Strong understanding of data modelling concepts

- Understand ETL that will aid in verification and testing of data

**If this job is a match for your background, we would be honoured to receive your application!**

**Providing consulting opportunities to TALENTed people since 1987, we offer a host of opportunities, including contract, contract to hire, and permanent placement. Let's talk **

DATA ENGINEER

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