Role Overview
Accenturefederalservices is hiring a Data Engineer. This is a full-time role in Suitland. Part of Accenturefederalservices's Security hiring, posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Security roles is $84k-$122k (based on 178 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
ob Description: Data Engineer
We are looking for a skilled and passionate Data Engineer to join our team. You will play a critical role in designing, building, and maintaining our data infrastructure to ensure seamless data flow, scalability, and reliability. You will work closely with data scientists, analysts, and other stakeholders to develop efficient data pipelines, manage large datasets, and integrate machine learning models into production environments.
Key Responsibilities:
- Programming Fundamentals: Write clean, efficient, and scalable code to build and optimize data solutions using programming languages like Python.
- Data Pipeline Development: Design, build, and orchestrate robust and reliable data workflows using tools such as Apache Airflow, dbt, Prefect, or Dagster.
- Cloud Platform Familiarity: Work comfortably in cloud environments, with a strong preference for experience in AWS. Experience in GCP or Azure is also highly valued.
- Database & Querying Skills: Extract, integrate, and ensure the quality of data from various sources using tools and technologies such as SQL, PostgreSQL, Snowflake, Amazon Redshift, or BigQuery.
- Big Data Processing: Leverage frameworks like Apache Spark, Databricks, or Apache Kafka to process and manage large-scale data workflows with reliability and efficiency.
- ML Integration / MLOps: Support the implementation, deployment, and scaling of machine learning models in production environments using tools like Amazon SageMaker, MLflow, or Kubeflow.
- Monitoring & Troubleshooting: Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon CloudWatch, Datadog, or Great Expectations.
- Collaboration & Documentation: Work closely with data scientists, analysts, and other stakeholders to understand data requirements, communicate solutions, and document processes using tools like Git, Jira, and Confluence.
Qualifications:
- 2 years of experience as a Data Engineer or similar role.
- Strong proficiency in Python or other programming languages relevant to data engineering.
- Any additional experience with any of the following:
- Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow, dbt, Prefect, Dagster).
- Solid understanding of cloud platforms (AWS strongly preferred; GCP or Azure experience also considered).
- Expertise in SQL and familiarity with relational and columnar databases (e.g., PostgreSQL, Snowflake, BigQuery).
- Knowledge of big data processing frameworks (e.g., Apache Spark, Databricks, or Apache Kafka).
- Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon SageMaker, MLflow, or Kubeflow) in production environments.
- Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon CloudWatch, Datadog, or Great Expectations.
- Excellent communication skills and a collaborative mindset, with a focus on documentation and best practices.
Preferred Skills:
- Experience working with large-scale distributed systems.
- Knowledge of data governance and security best practices.
- Proven ability to work in cross-functional teams and contribute to problem-solving and innovation.
Clearance:
- An active TS/SCI federal security clearance is required
#LI-Defense #clearancejobs
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
About Accenturefederalservices
Accenturefederalservices
565 other open roles at Accenturefederalservices on TryApplyNow.
Frequently Asked Questions
How do I apply for the Data Engineer position at Accenturefederalservices?
Use the Apply button above to submit your application directly to Accenturefederalservices. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Engineer position at Accenturefederalservices located?
This position is based in Suitland. Accenturefederalservices has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Engineer at Accenturefederalservices earn?
Accenturefederalservices has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Engineer role at Accenturefederalservices posted?
This role was posted on June 16, 2026 (23 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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