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Temporary Databricks Data Engineer Jobs in Suffolk, VA

Data Engineer

Norfolk, VA · On-site

$55 - $60/hr

Hands-on experience with Databricks for data engineering and analytics workloads. * Strong understanding of data warehousing, ETL/ELT concepts, and distributed data systems. * Experience with data ...

Data Engineer

Norfolk, VA · On-site

$55 - $60/hr

Hands-on experience with Databricks for data engineering and analytics workloads. * Strong understanding of data warehousing, ETL/ELT concepts, and distributed data systems. * Experience with data ...

Senior Data Engineer

Newport News, VA · On-site

$150 - $200/hr

Experience with Databricks, Spark, or big data processing preferred * Familiarity with metadata ... Microsoft Azure Data Engineering Certification * Azure Database Administrator Certification ...

New

Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure ... Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, or related ...

Design, build, and maintain reliable data pipelines using Databricks, Delta Live Tables, and Azure ... Bachelor's degree in Computer Science, Information Systems, Statistics, Engineering, or related ...

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Python, R, SQL programming * Data visualization (Qlik, Tableau, Power BI, etc.) * Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.) What We Offer: Guidehouse offers a ...

Data analysis and interpretation * ​Python, R, SQL programming * Data visualization (Qlik, Tableau, Power BI, etc.) * Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc ...

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Showing results 1-20

Temporary Databricks Data Engineer information

See Suffolk, VA salary details

$42.3K

$123.4K

$168.9K

How much do temporary databricks data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for temporary databricks data engineer in Suffolk, VA is $123,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

Infographic showing various Temporary Databricks Data Engineer job openings in Suffolk, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $123,400 per year, or $59.3 per hour.

$55 - $60/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

We are looking for Data Engineer for our client in Norfolk, VA

Job Title: Data Engineer

Job Location: Norfolk, VA

Job Type: Contract

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

  • Strong experience with SQL for complex query development, data modeling, and performance tuning.
  • Proficiency in Python for data engineering and ETL development.
  • Hands-on experience with SSIS (SQL Server Integration Services).
  • Experience designing and managing workflows using Apache Airflow.
  • Strong knowledge of Apache Spark for large-scale data processing.
  • Experience working with Apache Iceberg tables and lakehouse architectures.
  • Hands-on experience with Databricks for data engineering and analytics workloads.
  • Strong understanding of data warehousing, ETL/ELT concepts, and distributed data systems.
  • Experience with data quality, monitoring, and troubleshooting techniques.
  • 5+ years of experience in Data Engineering, ETL Development, or Data Platform Engineering.
  • Proven experience delivering enterprise-scale data solutions using modern data technologies.

Responsibilities:

  • Design, develop, and optimize scalable data pipelines for batch and real-time data processing.
  • Build and maintain robust ETL/ELT solutions using Python, SQL, and SSIS.
  • Develop and manage workflow orchestration using Apache Airflow.
  • Implement data transformation and processing solutions leveraging Apache Spark.
  • Design, optimize, and support data lakehouse architectures using Databricks and Apache Iceberg.
  • Ensure data quality, integrity, security, and governance across all data platforms.
  • Monitor, troubleshoot, and optimize data ingestion and processing workflows.
  • Collaborate with business analysts, data scientists, architects, and application teams to understand data requirements and deliver scalable solutions.
  • Perform performance tuning of databases, Spark jobs, and data pipelines.
  • Support production deployments and provide ongoing maintenance for critical data systems.
  • Follow best practices for coding, documentation, testing, and release management.

Nice to Have:

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
  • Familiarity with CI/CD pipelines and DevOps practices for data platforms.
  • Knowledge of data governance, metadata management, and security best practices.
  • Experience supporting large-scale enterprise data environments.

Skills:

  • SQL.
  • Python.
  • SSIS.
  • Airflow.
  • Spark.
  • Iceberg.
  • Databricks.
  • ETL/ELT.
  • Data Modeling.
  • Data Warehousing.

Qualification And Education:

  • Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field.

==

Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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