AWS Databricks Data Engineer — Lakehouse & Spark Expert

Credence; McLean (VA); On-site; USD 155,000 - 185,000; Full time

Benefits offered by this job

Health Care Plan

Retirement Plan

Life Insurance

Paid Time Off

Family Leave

Disability Insurance

Training & Development

Wellness Resources

Job summary

Credence is seeking an AWS Databricks Engineer to design, build, and optimize scalable data solutions in the AWS Databricks ecosystem for federal missions. You will implement lakehouse architectures, data pipelines, and governance across Databricks and AWS, collaborating with engineers, data scientists, and stakeholders.

Ideal candidates have hands-on data engineering experience with Databricks, Spark, PySpark, and AWS services, plus a security-conscious mindset and strong communication skills

Qualifications

• U.S. citizenship with the ability to obtain and maintain a Secret clearance is required.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field.
• Hands-on experience in data engineering, cloud engineering, or related technical roles.
• Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark.
• Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch.
• Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing.
• Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing.
• Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows.
• Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline.
• Understanding of cloud security, identity and access management, encryption, and secure data-handling practices.
• Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams.

Responsibilities

• Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake.
• Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture to improve data quality, governance, lineage, performance, and accessibility.
• Build and maintain ETL/ELT pipelines across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms.
• Develop efficient data transformation workflows using SQL, Python, and PySpark; optimize Spark workloads, clusters, and storage configurations.
• Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments.
• Automate data platform deployments and workflows using IaC, CI/CD pipelines, Git-based development, and AWS deployment tools.
• Collaborate with data engineers, software engineers, data scientists, cloud engineers, and stakeholders to translate requirements into production-ready data solutions.
• Develop clean, well-documented code while following security and federal development standards; support reviews, testing, troubleshooting, and design documentation.

Skills

Databricks engineering

Spark/PySpark

Data pipelines

ETL/ELT

Cloud security

CI/CD

Git/GitHub Actions

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Engineering

Tools

Databricks

Apache Spark

PySpark

Delta Lake

AWS S3

AWS Glue

AWS Redshift

AWS Lambda

IAM

CloudWatch

Terraform

OpenTofu

AWS CDK

CodePipeline

Job description

Credence is seeking an AWS Databricks Engineer to design, build, and optimize scalable data solutions in the AWS Databricks ecosystem for federal missions. You will implement lakehouse architectures, data pipelines, and governance across Databricks and AWS, collaborating with engineers, data scientists, and stakeholders.

Ideal candidates have hands-on data engineering experience with Databricks, Spark, PySpark, and AWS services, plus a security-conscious mindset and strong communication skills