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Datastage Developer Jobs in Ashburn, VA (NOW HIRING)

Capital Technology Group

Data Engineer

Silver Spring, MD · On-site

$118K - $142K/yr

Lead modernization initiatives migrating legacy platforms including IBM DataStage , Hadoop , RunDeck , and shell-based workflows to cloud-native AWS services. * Mentor junior engineers through ...

Omm IT Solutions

Sr Data Engineer

Mclean, VA

$116K - $139K/yr

Hands\-on experience with legacy ETL frameworks (e.g., IBM DataStage) to support modernization initiatives. \n * DevOps & CI\/CD: Familiarity with continuous integration and continuous deployment ...

Barrow Wise Consulting

Data Architect

MD · On-site

$90K - $130K/yr

Familiarity with the latest trends in data engineering and data management (APIs, data ... Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ... Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc. * Relevant IT certifications preferred ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ... Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc. * Relevant IT certifications preferred ...

Acumen Solutions

Data Analyst

Mclean, VA

Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ... Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc. * Relevant IT certifications preferred ...

Acumen Solutions

Data Analyst

Mclean, VA · On-site

Bachelor's degree or equivalent in Computer Science, Information Systems, Engineering, Business ... Informatica, Pentaho, DataStage, Jitterbit, Mulesoft, etc. * Relevant IT certifications preferred ...

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All JobsDatastage Developer JobsDatastage Developer Jobs in Ashburn, VA

Datastage Developer information

See Ashburn, VA salary details

$10

$58

$133

How much do datastage developer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for datastage developer in Ashburn, VA is $58.94, according to ZipRecruiter salary data. Most workers in this role earn between $50.14 and $63.41 per hour, depending on experience, location, and employer.

What is a Datastage developer?

A DataStage developer is in charge of using IBM InfoSphere DataStage. This is an ETL tool that extracts, transforms, and applies data to specific business goals. In this career, you manage the server and use the software to develop and implement DataStage and ETL tests for your organization. Other job duties include providing technical assistance to team members, coordinating and scheduling all tasks, and reviewing data integration plans and procedures. The career requires extensive work experience with DataStage and similar ETL tools. Additional qualifications are strong technical knowledge, communication skills, and problem-solving abilities.

How does a Datastage developer typically collaborate with data architects and business analysts during a project?

Datastage Developers frequently work alongside data architects to understand the overall data model and technical requirements for ETL processes. They also interact with business analysts to clarify business rules and ensure data transformations meet organizational needs. Effective communication and documentation are crucial, as developers must translate business requirements into technical specifications and maintain ongoing feedback loops throughout the project lifecycle. This collaborative structure ensures that the ETL solutions are both technically sound and aligned with business objectives.

What are the key skills and qualifications needed to thrive as a Datastage developer, and why are they important?

To thrive as a Datastage Developer, you need strong expertise in ETL processes, SQL, and data warehousing concepts, usually supported by a degree in computer science or a related field. Familiarity with IBM DataStage, version control systems, and related database platforms such as Oracle or DB2 is typically required, with certifications in DataStage or IBM InfoSphere being advantageous. Analytical thinking, attention to detail, and effective communication skills set top performers apart in this role. These skills and qualities are crucial for building robust, scalable data integration solutions that meet business requirements and ensure data quality.

What is the difference between Datastage Developer vs ETL Developer?

AspectDatastage DeveloperETL Developer
CertificationsIBM DataStage certifications, SQL, ETL toolsETL tools certifications (Informatica, Talend), SQL
Work EnvironmentPrimarily uses IBM DataStage in data warehousing projectsUses various ETL tools across different platforms
Industry UsageCommon in banking, finance, healthcareWidespread across industries using ETL processes
Job FocusDesigning and developing data integration solutions with DataStageBuilding and maintaining ETL workflows with various tools

While both roles involve data integration and ETL processes, a Datastage Developer specializes in IBM DataStage, whereas an ETL Developer may work with multiple ETL tools. The choice depends on the company's technology stack and project requirements.

More about Datastage Developer jobs
Datastage Developer jobs near you
Infographic showing various Datastage Developer job openings in Ashburn, VA as of August 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $122,604 per year, or $58.9 per hour.

Data Engineer

Capital Technology Group

Silver Spring, MD • On-site

$118K - $142K/yr

Full-time

Posted 22 days ago

Job description

Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance

The CTG Experience

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.

About the Role

CTG is seeking a Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.

You Will Get To
  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue.
  • Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro.
  • Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.
  • Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases.
  • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes.
  • Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures.
  • Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.
  • Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls.
  • Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services.
  • Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.
  • Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders.
Who You Are
  • A strategic data engineer who enjoys designing complex systems and solving complex challenges
  • Strong in modern cloud-based solution design
  • Comfortable balancing business needs with technical constraints and long-term strategy
  • A strong communicator
  • Collaborative, proactive, and comfortable navigating ambiguity
Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • 4+ years of professional experience in data engineering or related domains
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.
    • Designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.
    • Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.
    • Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.
    • Designing and optimizing solutions using relational and NoSQL databases including PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.
    • Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.
    • Java development and modern CI/CD practices using Harness.
  • Strong analytical and problem-solving skills
  • Experience working in agile, iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences
Nice to Have
  • Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.
  • Experience with Kafka (streaming/data pipelines)
  • Experience with Docker and Kubernetes for containerization and orchestration
  • Proficiency with Splunk for log aggregation and system monitoring
  • Experience using Terraform for infrastructure automation and management
  • Strong SQL skills, including performance tuning and complex query design
Salary

We are committed to offering a competitive salary for this position, with an estimated range of $110k to $140k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.

Full Time Employee Benefits
  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)

Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.