Data Engineer - W2 Only (No C2C)

TEKsystems

United States

Remote

USD 76,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Medical, dental & vision
401(k) Retirement Plan
Paid time off

Job summary

TEKsystems is seeking 4–6 onshore contractors for a high-priority BigQuery-to-Databricks replication effort. The role focuses on replicating enterprise data from BigQuery into Databricks with hands-on experience in this replication path.

Ideal candidates possess strong BQ/Databricks data engineering skills, SQL fundamentals, PySpark and Databricks notebook development, plus familiarity with Iceberg/Unity Catalog and large-scale data movement.

Qualifications

  • Hands-on BigQuery/Databricks replication experience.
  • Strong SQL and data engineering fundamentals.
  • PySpark and Databricks notebook development.
  • Experience building BigQuery-to-Databricks data replication pipelines.
  • Knowledge of BigQuery authorized views and federated connections.
  • Understanding of Iceberg and Unity Catalog.
  • Experience with large-scale data movement and performance tuning.
  • Orchestration and productionizing Databricks jobs is a plus.

Responsibilities

  • Support BigQuery-to-Databricks replication project for enterprise data.
  • Collaborate with 4–6 onshore contractors to deliver the path.
  • Optimize data movement and performance for the replication.

Skills

BigQuery
Databricks
SQL
PySpark
Databricks Notebooks
Iceberg Unity Catalog
Data replication
Data movement
Orchestration

Tools

Airflow

Job description

Top Skills' Details
  • Strong BQ and Databricks data engineering experience
  • Strong SQL / data engineering fundamentals
  • PySpark and Databricks notebook development
  • Ideally, experience building BigQuery-to-Databricks data replication / ingestion pipelines
  • Experience with BigQuery authorized views and federated connections
  • Strong understanding of Apache Iceberg, preferably Databricks-managed Iceberg / Unity Catalog
  • Experience with large-scale data movement, incremental replication, performance tuning and optimization
Description

Our customer has an immediate need to bring on 4-6 onshore contractor resources to support a high-priority BigQuery-to-Databricks replication effort. The work will support the replication of enterprise data currently housed in BigQuery into Databricks. For these roles, they would like candidates with direct, hands‑on experience with this type of replication path, ideally specifically BigQuery Databricks.

Key skills we are looking for
  • Strong BQ and Databricks data engineering experience
  • Strong SQL / data engineering fundamentals
  • PySpark and Databricks notebook development
  • Ideally, experience building BigQuery-to-Databricks data replication / ingestion pipelines
  • Experience with BigQuery authorized views and federated connections
  • Strong understanding of Apache Iceberg, preferably Databricks‑managed Iceberg / Unity Catalog
  • Experience with large‑scale data movement, incremental replication, performance tuning and optimization
  • Experience with orchestration and productionizing Databricks jobs is a plus
Skills

BigQuery, Databricks, Apache Iceberg

Additional Skills & Qualifications

Experience with orchestration and productionizing Databricks jobs is a plus

Experience Level

Expert Level

Job Type & Location

This is a Contract position based out of Atlanta, GA.

Pay and Benefits

The pay range for this position is $55.00 - $62.00/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 jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre‑tax and Roth post‑tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long‑term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Oct 21, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real‑world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full‑stack capabilities and speed. We're strategic thinkers, hands‑on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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: 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): 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.

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