Data Engineer Security Clearance
Job in
Suitland, Prince George's County, Maryland, 20746, USA
Listed on 2026-07-10
Listing for:
Accenture Federal Services
Full Time
position Listed on 2026-07-10
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture.
Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! 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 Big Query.
* 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 Sage Maker, MLflow, or Kubeflow.
* Monitoring & Troubleshooting:
Monitor data pipeline health, troubleshoot issues, and ensure data consistency using tools such as Amazon Cloud Watch, 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, Big Query).
* 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 Sage Maker, MLflow, or Kubeflow) in production environments.
* Strong troubleshooting skills and experience monitoring data pipelines and system health using tools like Amazon Cloud Watch, 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 Final date to receive applications.
The pay range for the states of California, Colorado,…
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