Data Engineer with Microsoft Fabric

Ethereum Technologies; Hartford (CT); On-site; USD 99,000 - 114,000; Full time

Job summary

Ethereum Technologies in Hartford, CT is seeking a senior Data Engineer to own the design and delivery of data pipelines and analytics models on Microsoft Fabric. The role is onsite with senior tech leadership responsibilities, guiding solution design and production-ready assets.

You will mentor junior developers, collaborate with business and IT stakeholders, and drive governance, security, and performance across the data lakehouse environment.

Qualifications

• 8+ years in data engineering with end-to-end delivery on Microsoft Fabric: Lakehouse, Warehouse, Data Factory pipelines, notebooks, production deployment.
• Expert-level SQL (T-SQL) and PySpark/Python with deep Delta Lake knowledge (ACID, partitioning, optimize/vacuum, schema evolution, performance tuning).
• Strong dimensional modelling and medallion architecture experience, including making and defending design trade-offs.
• Experience with incremental loads, CDC patterns, and data quality frameworks at scale; Git-based version control and CI/CD for data assets.
• Demonstrated experience leading or mentoring a small team and doing code reviews.
• Strong communication skills for working directly with client stakeholders, including senior business and IT leaders.

Responsibilities

• Lead design and build of ingestion and transformation pipelines using Fabric Data Factory and Spark notebooks.
• Define Lakehouse vs Warehouse choices and medallion layering; document rationale.
• Design and optimize Power BI semantic models and guide report developers.
• Lead migration of existing workloads (SSIS, ADF, Synapse) to Fabric with assessment and cutover.
• Set up CI/CD using Fabric Git integration and deployment pipelines; establish branching strategies.
• Define and enforce security and governance: workspace roles, row/column security, and Purview integration.
• Own performance and capacity management; tune pipelines and queries.
• Conduct code/design reviews and mentor junior/mid-level developers.
• Run workshops, estimate work, flag risks, and maintain runbooks.

Skills

T-SQL

PySpark/Python

Delta Lake

Data Factory pipelines

Lakehouse architecture

CI/CD for data

Mentoring

Stakeholder communication

Tools

Git

Azure DevOps

GitHub

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Engineer with Microsoft Fabric

Location: Hartford, CT

Duration: 8 Months + Extension
Bill Rate: $72/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary
You will own the design and delivery of data pipelines and analytics models on Microsoft Fabric for a client moving to a unified lake house platform. Working onsite, you are the senior technical voice in the room: you shape the solution design, lead hands-on build, mentor junior developers, and be the day-to-day technical contact for business and IT stakeholders. You are expected to work with minimal supervision and hand over production-ready, governed assets.

Responsibilities:

• Lead design and build of ingestion and transformation pipelines using Fabric Data Factory (pipelines, Dataflows Gen2) and Spark notebooks (PySpark / Spark SQL).
• Define Lakehouse vs Warehouse choices and the medallion (bronze/silver/gold) layering on One Lake with Delta tables, and document the rationale.
• Design and optimize Power BI semantic models, including Direct Lake where appropriate, and guide report developers.
• Lead migration of existing workloads (SSIS, ADF, Synapse, on-prem SQL Server) to Fabric, including assessment, sequencing, and cutover.
• Set up and own CI/CD using Fabric Git integration and deployment pipelines (Azure DevOps or GitHub), including branching strategy and promotion standards.
• Define and enforce security and governance: workspace roles, row/column-level security, sensitivity labels, Purview integration.
• Own performance and capacity management (CU consumption, throttling, SKU sizing inputs), and tune pipelines, Spark jobs, and queries.
• Conduct code and design reviews, set engineering standards, and mentor junior and mid-level developers.
• Run requirement workshops and demos, estimate and break down work, flag risks early, and keep designs and runbooks current.

Mandatory Skills:

• 8+ years in data engineering, with proven end-to-end delivery on Microsoft Fabric: Lakehouse, Warehouse, Data Factory pipelines, notebooks, One Lake shortcuts, production deployment.
• Expert-level SQL (T-SQL) and PySpark/Python, with deep Delta Lake knowledge (ACID, partitioning, optimize/vacuum, schema evolution, performance tuning).
• Strong dimensional modelling and medallion architecture experience, including making and defending design trade-offs.
• Experience with incremental loads, CDC patterns, and data quality frameworks at scale.
  Git-based version control and CI/CD for data assets, with experience setting it up, not just using it.
• Demonstrated experience leading or mentoring a small team and doing code reviews.
• Strong communication skills for working directly with client stakeholders, including senior business and IT leaders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.