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Senior Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

Deloitte

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Metas Solutions

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Metas Solutions has an "opening" for (2) talented Senior Data Engineers located in the DC Metro area to play a critical role within the organization, helping to manage and transform complex data ...

Metas Solutions

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Metas Solutions has an " opening" for (2) talented Senior Data Engineers located in the DC Metro area to play a critical role within the organization, helping to manage and transform complex data ...

Prescient Edge

Senior Data Engineer

Washington, DC · On-site

$160K - $180K/yr

Job Title Senior Data Engineer Location Washington, DC 20032 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Master's Degree Travel None ...

Kanak Elite Services Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Python Pyspark node.js vue.js AWS EMR/Glue Lambda S3 SNS DynamoDB Databricks Description: Sr. Data Engineer Leads meetings with internal customers to determine data needs Requirements mapping and ...

DSPolitical

Senior Data Engineer

Washington, DC · On-site

$120K - $135K/yr

The Senior Data Engineer will be the key resource responsible for developing and maintaining DSPolitical's reporting stack including our ingestion pipelines, data warehouse architecture, and ...

Steampunk

Senior Data Engineer

Mclean, VA · On-site +1

$125K - $165K/yr

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and ...

Steampunk

Senior Data Engineer

Mclean, VA

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior ...

Steampunk

Senior Data Engineer

Mclean, VA

$125K - $165K/yr

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and ...

DSPolitical

Senior Data Engineer

Washington, DC · On-site

$120K - $135K/yr

The Senior Data Engineer will be the key resource responsible for developing and maintaining DSPolitical's reporting stack including our ingestion pipelines, data warehouse architecture, and ...

Steampunk

Senior Data Engineer

Mclean, VA · On-site +1

$125K - $165K/yr

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and ...

Steampunk

Senior Data Engineer

Mclean, VA

$125K - $165K/yr

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. * Lead and ...

Steampunk

Senior Data Engineer

Mclean, VA

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior ...

VTG

Senior Data Engineer

Chantilly, VA

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to ...

VTG

Senior Data Engineer

Herndon, VA

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to ...

Karsun Solutions, LLC

Senior Data Engineer

Herndon, VA · On-site

$150K - $170K/yr

The Senior Data Engineer provides support to the Application database design to aid in eliminating data duplication and enabling selective event-based and schedule-based data transfer to endpoints ...

Prescient Edge

Senior Data Engineer

Washington, DC · On-site

$160K - $180K/yr

Job Title Senior Data Engineer Location Washington, DC 20032 US (Primary) Category Research, Development, and Engineering Job Type Full-Time Career Level Staff Education Master's Degree Travel None ...

Dark Wolf Solutions

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

Dark Wolf is seeking a highly motivated and self-directed professional to fill the role of Senior Data Engineer . The candidate will be a member of a software development team supporting cloud-based ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Silver Spring, MD

Senior Data Engineer information

See Silver Spring, MD salary details

$83.5K

$130.2K

$180.4K

How much do senior data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for senior data engineer in Silver Spring, MD is $130,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $148,400.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Silver Spring, MD? The most popular types of Data Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Senior Data Engineer jobs in Silver Spring, MD? For Senior Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Senior Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Senior Data Engineer jobs? Cities near Silver Spring, MD with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $130,196 per year, or $62.6 per hour.
Senior Data Engineer

Senior Data Engineer

Deloitte

Baltimore, MD • Hybrid

$105K - $143K/yr

Other

Re-posted 11 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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