Azure Data Engineer

TEKsystems; Duluth (GA); Hybrid; USD 96,000 - 117,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k) Retirement Plan

Pre-tax and Roth accounts

Job summary

TEKsystems seeks a Senior Azure Data Engineer to design and optimize scalable Azure data solutions for enterprise analytics, AI, and applications in a hybrid Duluth, GA setting.

You will build ETL/ELT pipelines, lakehouse architectures, and governance frameworks while mentoring junior engineers and collaborating across teams.

Qualifications

• 7+ years of hands-on data engineering experience within Microsoft Azure.
• Advanced Python, PySpark, SQL, and Spark SQL skills.
• Strong Microsoft Fabric experience.
• Experience with Azure Data Factory, Synapse, and/or Databricks.
• Experience with OneLake, ADLS Gen2, Delta Lake, lakehouse, and data warehouse architectures.
• Strong knowledge of Medallion architecture, dimensional modeling, CDC, and metadata-driven pipelines.
• Experience with Spark performance tuning and SQL optimization.
• Experience with data quality, governance, lineage, CI/CD, automated testing, and production support.
• Strong communication, collaboration, problem-solving, and mentoring skills.
• Bachelor degree or equivalent professional experience.

Responsibilities

• Build scalable ETL/ELT pipelines using Python, PySpark, SQL, Microsoft Fabric, Azure Data Factory, Synapse, and Databricks.
• Develop lakehouse and warehouse solutions using OneLake, ADLS Gen2, Delta Lake, Parquet, and Spark.
• Create batch, incremental, CDC, API, and streaming ingestion processes.
• Design dimensional models, star schemas, SCDs, and curated data products.
• Build reusable frameworks for ingestion, transformation, validation, logging, and error handling.
• Optimize Spark, SQL, storage, and pipeline performance.
• Implement data quality, governance, lineage, monitoring, and observability.
• Support CI/CD, automated testing, and Infrastructure as Code.
• Collaborate with cloud, architecture, BI, security, application, and business teams.
• Mentor engineers through design reviews, code reviews, and best practices.

Skills

Azure Data Engineering

Python

PySpark

SQL

Spark SQL

Microsoft Fabric

Azure Data Factory

Synapse

Databricks

OneLake

Lakehouse

ETL/ELT

Education

Bachelor's degree or equivalent professional experience

Tools

Azure Data Factory

Synapse

Databricks

Microsoft Fabric

OneLake

Job description

Job Overview

Our client is seeking a Senior Azure Data Engineer to support a company-wide cloud transformation. This hands‑on role will design and optimize scalable Azure data solutions for enterprise analytics, applications, and AI use cases.

Job Title: Senior Azure Data Engineer

Location: Hybrid in Duluth, GA, two days onsite per week

Job Type: 6‑Month Contract‑to‑Hire

Responsibilities

• Build scalable ETL/ELT pipelines using Python, PySpark, SQL, Microsoft Fabric, Azure Data Factory, Synapse, and Databricks.
• Develop lakehouse and warehouse solutions using OneLake, ADLS Gen2, Delta Lake, Parquet, and Spark.
• Create batch, incremental, CDC, API, and streaming ingestion processes.
• Design dimensional models, star schemas, SCDs, and curated data products.
• Build reusable frameworks for ingestion, transformation, validation, logging, and error handling.
• Optimize Spark, SQL, storage, and pipeline performance.
• Implement data quality, governance, lineage, monitoring, and observability.
• Support CI/CD, automated testing, and Infrastructure as Code.
• Collaborate with cloud, architecture, BI, security, application, and business teams.
• Mentor engineers through design reviews, code reviews, and best practices.

Must Haves

• 7+ years of hands‑on data engineering experience within Microsoft Azure.
• Advanced Python, PySpark, SQL, and Spark SQL skills.
• Strong Microsoft Fabric experience.
• Experience with Azure Data Factory, Synapse, and/or Databricks.
• Experience with OneLake, ADLS Gen2, Delta Lake, lakehouse, and data warehouse architectures.
• Strong knowledge of Medallion architecture, dimensional modeling, CDC, and metadata‑driven pipelines.
• Experience with Spark performance tuning and SQL optimization.
• Experience with data quality, governance, lineage, CI/CD, automated testing, and production support.
• Strong communication, collaboration, problem‑solving, and mentoring skills.
• Bachelors degree in a related discipline or equivalent professional experience.

Nice to Have

• Microsoft Fabric Data Engineer Associate (DP‑700) certification.
• Experience with Terraform, Bicep, Azure DevOps, or GitHub Actions.
• Experience with Event Hubs, Kafka, streaming, or Fabric Real‑Time Intelligence.
• ERP, supply chain, distribution, manufacturing, PIM, or MDM data experience.
• Familiarity with Power BI, Direct Lake, Fabric Mirroring, Azure OpenAI, or RAG.

Skills

Microsoft Fabric, Azure, Python, PySpark, SQL, Azure Data Factory, Synapse, Databricks, OneLake, ETL/ELT, data modeling

Pay And Benefits

The pay range for this position is $70.00 - $85.00/hr.

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.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre‑tax and Roth post‑tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long‑term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave)

Application Deadline

This position is anticipated to close on Oct 27, 2026.

Workplace Type

This is a hybrid position in Duluth,GA.

San Francisco Fair Chance Ordinance

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI)

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.