Senior Data Engineer

TEKsystems

United States

On-site

USD 110,000 - 165,000

Full time

10 hours ago

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Benefits offered by this job

Medical, Dental, and Vision

Critical Illness Insurance

401(k) Retirement Plan

Life Insurance

Disability Insurance

Health Spending Account

Transportation Benefits

Employee Assistance Program

Paid Time Off

Job summary

TEKsystems in the United States is seeking a Sr. Data Engineer with deep expertise in Microsoft Fabric, Azure analytics, and Snowflake to design and deliver modern data solutions.

The role requires 6+ years' hands-on data engineering using Microsoft technologies and end-to-end experience on Azure Fabric and Snowflake projects. You will collaborate with architects, AI engineers, data scientists, and stakeholders to build secure, scalable lakehouse and warehouse models, implement CI/CD, and

Qualifications

6+ years of hands-on Data Engineering delivering enterprise-scale platforms.
Two end-to-end Azure Fabric projects (design, development, deployment).
Two end-to-end Snowflake projects (data ingestion, transformation, optimization).
Strong SQL, Python, and ETL/ELT development.
Hands-on with Microsoft Fabric and Azure data services (OneLake, Lakehouse).
Knowledge of CI/CD, Git, and deployment automation.
Experience implementing data governance, security, and access controls.
Excellent communication and stakeholder management.

Responsibilities

Gather requirements with customers and translate to technical solutions.
Design and implement data platform architectures using Fabric and Snowflake.
Develop scalable ingestion, transformation, and orchestration pipelines.
Build Power BI semantic models and reports.
Implement CI/CD pipelines for data workloads.
Ensure data governance, security, and compliance.
Mentor junior engineers and drive best practices.
Contribute to accelerator solutions.

Skills

SQL

Python

ETL/ELT

Data Modeling

Azure Fabric

Azure Data Services

Snowflake

Power BI

CI/CD & DevOps

Stakeholder Management

Education

Bachelor’s or Master’s in Computer Science/Engineering

Tools

OneLake

Lakehouse

Data Factory

Synapse

Purview

Power BI

Snowflake

Azure DevOps

GitHub

ADLS Gen2

Job description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise.

We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

We are seeking a highly skilled Sr. Data Engineer with strong expertise in Microsoft Fabric, Azure analytics ecosystem, and Snowflake data platform to design and deliver modern, scalable data solutions.

The ideal candidate should be a good team player with 6+ years of experience in data engineering in Microsoft technologies, deep hands-on expertise in Microsoft Azure Fabric platform (OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Purview, Power BI) and preferably some experience with Azure AI/ML services. In addition, the candidate should have at least two end to end project experience developing Snowflake native data engineering solutions involving Snowpipe / Copy Command / Dynamic Table / Streams & Tasks

This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native engineering and analytics solutions, close team collaboration with team lead/ architects, AI Engineers, Data Scientists, and Business Stakeholders to deliver impactful, data-driven solutions.

Actively involves in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders under the guidance from an Architect or Lead Engineer
Actively participates in architectural discussions under guidance / supervision from Practice Architect / Team Lead to design and develop effective, efficient, reliable, secure, scalable, and cost-optimized data engineering solutions as per the overall data management strategy
Design and implement modern data platform architectures using Microsoft Fabric and/or Snowflake, including:
- OneLake-based data Lakehouse architectures
- Data Factory pipelines within Fabric
- Synapse Data Engineering and Data Warehousing experiences
- Snowflake Data Ingestion (different data formats)
Develop scalable data ingestion, transformation, and orchestration pipelines using Fabric-native tools, and Azure services
Design high-performance Lakehouse and Warehouse models following best practices (medallion architecture, dimensional modeling)
Design, implement, and optimize Snowflake-based cloud data platforms leveraging features such as Snowpipe, Streams, Tasks, Dynamic Tables, and Virtual Warehouses to deliver scalable, secure, and high-performance analytical solutions.
Develop enterprise-grade ELT frameworks and data integration solutions on Snowflake, ensuring adherence to data governance, performance optimization, cost management, and operational best practices
Build interactive and scalable Power BI semantic models and reports
Implement CI/CD pipelines (Azure DevOps/GitHub) for data and analytics workloads
Ensure adherence to data governance, security, and compliance standards
Occasionally mentor or oversee junior engineers and drive best practices
Contribute to developing accelerator solutions or reusable frameworks

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
6+ years of hands-on Data Engineering experience delivering enterprise-scale data platforms and analytics solutions.
At least two end-to-end implementation projects on Azure Fabric involving design, development, testing, and deployment, (preferably with production support but not mandatory).
At least two end-to-end implementation projects on Snowflake involving data ingestion, transformation, modeling, and optimization
Strong expertise in SQL, Python, and ETL/ELT development
Strong hands-on expertise in Microsoft Fabric and related Azure data services, including:
- ADLS Gen2
- OneLake & Lakehouse architecture
Strong working knowledge of Snowflake architecture, including
- Virtual Warehouses
- Snowpipe / Copy Command / Dynamic Table
- Streams & Tasks
- Data Sharing
- Performance Tuning
- Security & Access Control
Expertise in data modeling (star/snowflake schemas, medallion architecture)
Experience building batch and near real-time data pipelines handling structured and semi-structured data (JSON, Parquet, CSV, XML)
Knowledge of CI/CD, Git, DevOps practices, and deployment automation
Experience implementing data quality, governance, security, and access controls in cloud platforms.
Strong problem-solving, communication, and stakeholder management skills
Excellent verbal and written communication skills.
Ability to participate in agile ceremonies (planning, retrospectives, backlog grooming)
Ability to work cross-functionally with product managers, business stakeholders, and engineering teams.
Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.

Preferred Qualifications:

Microsoft certifications such as:
- Fabric Data Engineer Associate
Snowflake Certification such as:
- Experience with Databricks or Synapse Spark pools
- Familiarity with Streaming technologies (in Azure and/or Snowflake)
- Exposure to data governance tools (Purview or equivalent)
- Familiarity with Snowflake Cortex AI.

Job Type & Location

This is a Permanent position based out of Austin, TX.

Pay and Benefits

The pay range for this position is $109700.00 - $164500.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following: