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Weekend Data Engineering Jobs in Washington (NOW HIRING)

Apex Systems

Sr. Data Engineer

Columbia, MD · On-site

$112.70K - $135.30K/yr

This is a hands-on data engineering role for individuals who thrive in collaborative environments, are passionate about building high-quality data platforms, and can communicate effectively with both ...

Analytica

Data Engineer

Washington, DC · On-site

$129.20K - $155.10K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or hybrid data ...

Bigbear.ai

Data Engineer, Lead

Washington, DC · On-site

$125.60K - $150.80K/yr

Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) * Demonstrable experience ...

BigBear.ai

Data Engineer, Lead

Washington, DC

$129.60K - $155.70K/yr

Minimum of 3 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) * Demonstrable experience ...

Dlapiper

Data Engineer

Washington, DC

$129.70K - $155.70K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Analytica

Data Engineer (Data Quality & Automation)

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

Collaborate with technical leads, architects, and engineering teams to define and promote standard data engineering and quality practices. * Support deployment, monitoring, and troubleshooting of ...

Analytica

Data Engineer

Washington, DC · On-site

$129.20K - $155.10K/yr

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience) * Experience working across cloud (AWS, Azure) or hybrid data ...

Accenture Federal Services

Cleared Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

... engineering tools such as ElasticSearch and NiFi • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM ...

Dlapiper

Data Engineer

Reston, VA

$119.10K - $143K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Accenture Federal Services

Cleared Data Engineer

Washington, DC · On-site

$129.20K - $155.10K/yr

... engineering tools such as ElasticSearch and NiFi • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

Work collaboratively within a growing engineering team to build and sustain scalable, secure, and resilient technical solutions that support DHA's enterprise data strategy. * Partner with technical ...

Cornerstone Defense

Chief Data Engineer

Chantilly, VA · On-site

$117.20K - $140.80K/yr

The ideal candidate will have a strong background in data engineering and integration, with a focus on normalizing data from diverse sources for advanced analytical methodologies. The Data Engineer ...

Pantheon Data

Data Engineer

Falls Church, VA · On-site

$122.10K - $146.70K/yr

Work collaboratively within a growing engineering team to build and sustain scalable, secure, and resilient technical solutions that support DHA's enterprise data strategy. * Partner with technical ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

... engineering activities, organizing data from disparate sources to yield pivotal insights. Responsibilities : • help our clients find answers in their data to impact important missions from fraud ...

Accenture Federal Services

Palantir Data Engineer

Chantilly, VA · On-site

$118.30K - $142.10K/yr

... engineering activities involving data of varying types and in varying conditions. Qualifications : Required : • 4 to 7+ years of experience with all of the following: • Python • TypeScript • ...

IntelliTech LLC

Mid Data Engineer

Arlington, VA · On-site

Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP . * Collaborate with engineers, analysts, data scientists, and other stakeholders to support ...

Element Solutions

Sr. Data Engineer

Washington, DC · On-site

$129.70K - $155.70K/yr

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. * Minimum 8 years of professional experience in data engineering, data integration, or a related ...

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Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What are the most commonly searched types of Data Engineering jobs in Washington? The most popular types of Data Engineering jobs in Washington are:
What cities in Washington are hiring for Weekend Data Engineering jobs? Cities in Washington with the most Weekend Data Engineering job openings:
Weekend Data Engineering jobs near you
Data Engineer Specialist

Data Engineer Specialist

Accenture Federal Services

Arlington, VA • On-site

$131.90K - $158.40K/yr

Full-time

Posted 13 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 424 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. The senior Data Engineer will be responsible for building and maintaining critical data pipelines and mentoring junior engineers, ensuring the adoption of modern data engineering practices.
Responsibilities:
• Design, build, and maintain scalable and resilient data pipelines for both new data sources and existing systems within the data platform ecosystem.
• Implement and optimize pipelines using modular patterns, such as Databricks Delta Live Tables, following governance from the architecture team.
• Develop and integrate automated monitoring, alerting, and data quality checks into every pipeline to reduce downtime and ensure data integrity.
• Utilize Infrastructure-as-Code (IaC) with tools like Terraform to create consistent, repeatable deployments and CI/CD processes.
• Analyze complex source data formats and collaborate with data scientists and stakeholders to design transformations that meet mission objectives.
• Participate in and lead code reviews, enforce best practices, and mentor junior data engineers.
• Troubleshoot and resolve complex issues with data pipelines, and contribute to the ongoing improvement of O&M processes.
Qualifications:
Required:
• 3 years of experience in data engineering
• Strong experience with the development and maintenance of extract, transform, and load (ETL) tools and services
• Proficiency in Python, SQL, Spark, or PySpark
• Hands-on experience with cloud environments (AWS or Azure) and data platforms like Databricks, Palantir, or Snowflake
• Experience working in an Agile/Scrum development environment
• Active TS Clearance or TS/SCI Clearance
Preferred:
• Experience working in high-security DoD environments (e.g., SIPR, JWICS)
• Hands-on experience with Databricks Delta Live Tables and Terraform
• Experience with containerization technologies like Docker or Kubernetes
• Knowledge of COTS and open-source data engineering tools such as NiFi or ElasticSearch
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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