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Sql Server Data Engineer Jobs in Silver Spring, MD

Data Engineer

Springfield, VA · On-site

$119K - $143K/yr

Responsibilities : • Support and maintain Microsoft SQL Server environments, with flexibility to ... Data Analysts, Software Engineers, and other stakeholders to ensure data systems meet business ...

Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB ... Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Data Engineer ROLE SUMMARY: Conducts data migration and data architecture for the BATS ... PRIMARY RESPONSIBILITIES: • Design and build data pipelines using tools like SSIS. • Manage ETL ...

... data and using cookies - Learn more. Position Description: CGI is seeking a SQL Database ... Collaborate with customers, project managers, architects, and developers to define database ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Collaborate with software engineering teams to clean, migrate, and replicate data into and within SQL Server environments * Engineer solutions to integrate, transform, and harmonize data from diverse ...

Data Engineer

Mclean, VA

$115K - $139K/yr

... SQL Server) * Experience with big data processing frameworks (e.g., Spark, Hadoop) * Hands-on ... Proficiency in programming languages such as Python, Scala, or Java * Experience with data ...

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Sql Server Data Engineer information

See Silver Spring, MD salary details

$62.5K

$126.2K

$173.2K

How much do sql server data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for sql server data engineer in Silver Spring, MD is $126,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $144,700.00 per year, depending on experience, location, and employer.

What does a SQL Server Data Engineer do?

A SQL Server Data Engineer is responsible for designing, developing, and maintaining databases using Microsoft SQL Server. Their role involves creating and optimizing data models, writing complex queries, ensuring data integrity, and supporting business intelligence needs. They often collaborate with developers, analysts, and stakeholders to deliver reliable and efficient data solutions. Additionally, they may handle performance tuning, security management, and data migration tasks.

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

To thrive as a SQL Server Data Engineer, you need strong proficiency in SQL, database design, ETL processes, and a solid understanding of data warehousing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft SQL Server, SSIS, SSRS, SSAS, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Analytical thinking, problem-solving skills, and effective communication help you excel in troubleshooting, optimizing data workflows, and collaborating with cross-functional teams. These skills ensure reliable data management, efficient operations, and the delivery of actionable insights critical to business decision-making.

What are some common challenges faced by SQL Server Data Engineers when optimizing database performance?

SQL Server Data Engineers often encounter challenges such as identifying inefficient queries, managing indexing strategies, and balancing resource usage to prevent bottlenecks. They must regularly analyze query execution plans and monitor server health to optimize performance. Collaboration with developers is also essential to ensure that application code interacts efficiently with the database, and staying updated with the latest SQL Server features helps in implementing best practices.
What are popular job titles related to Sql Server Data Engineer jobs in Silver Spring, MD? For Sql Server Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
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What cities near Silver Spring, MD are hiring for Sql Server Data Engineer jobs? Cities near Silver Spring, MD with the most Sql Server Data Engineer job openings:

SSIS/SSRS Developer

Lateral Insights LLC

Great Falls, VA • On-site

Full-time

Posted 7 days ago


Job description

Job Description: Data Warehouse Developer

Location: Richmond, VA (Hybrid ? 2 days/week onsite)
Interview: In-person interviews required
Preference: Local candidates strongly preferred

Position Summary

We are seeking an experienced Data Warehouse Developer to join our team in Richmond, VA. The ideal candidate is a self-driven professional who can work independently while collaborating effectively with Business Systems Analysts (BSAs), Project Managers, and business stakeholders to translate business requirements into scalable, analytics-ready data solutions.

This role requires strong expertise in SQL Server, dimensional data modeling using Kimball methodologies, SSIS ETL development, and SQL Server data mart design. The successful candidate will be responsible for profiling source systems, designing and developing data warehouse solutions, maintaining database projects in Visual Studio, managing source code through Git, and ensuring data quality through rigorous testing. Experience with reporting and dashboard development is considered a plus but is not the primary focus of the role.

Key Responsibilities

  • Analyze and profile source systems to determine data availability, quality, relationships, and extraction requirements.
  • Design and develop dimensional data models, including star schemas, using Kimball methodologies.
  • Create comprehensive data flow mapping and technical design documentation that accurately translates business requirements into technical specifications.
  • Develop, optimize, and maintain SQL Server data marts, including tables, views, stored procedures, functions, and indexes.
  • Build and maintain SQL Server Database Projects using Visual Studio to support version-controlled and repeatable deployments.
  • Develop, deploy, schedule, and monitor SSIS ETL packages to ensure efficient and reliable data integration.
  • Manage source code, branching strategies, and deployments using Git source control.
  • Perform comprehensive data validation and testing to ensure data accuracy, completeness, and compliance with business rules.
  • Collaborate with Business Analysts, Project Managers, and business stakeholders throughout the project lifecycle to deliver high-quality data solutions.
  • Troubleshoot and resolve data quality and ETL issues while continuously improving performance and reliability.
  • Create basic reports and dashboards using tools such as Power BI or Tableau, when required.

Required Qualifications

  • Minimum 5 years of experience in data profiling and source system analysis.
  • Minimum 5 years of experience in dimensional data modeling and data warehouse design.
  • Minimum 5 years of hands-on experience developing SQL Server data marts.
  • Minimum 5 years of experience designing, developing, and maintaining SSIS ETL solutions.
  • Minimum 3 years of experience using Git or other source control systems.
  • Strong proficiency with SQL Server, T-SQL, Visual Studio Database Projects, and database deployment methodologies.
  • Experience translating business requirements into scalable data warehouse solutions.
  • Excellent analytical, problem-solving, communication, and collaboration skills.
  • Ability to work independently in a fast-paced, self-managed environment.

Preferred Qualifications

  • Experience creating reports or dashboards using Power BI, Tableau, or similar BI tools.
  • Experience working in Agile project environments.
  • Strong understanding of data quality, governance, and best practices for enterprise data warehousing.