[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Bixal is a consulting company headquartered in Fairfax, Virginia, helping governments and organizations deliver better services and experiences through evidence-based knowledge and technology. The company is seeking a Data Engineer to build and optimize data pipelines using PySpark, Databricks, AWS, Kafka, and infrastructure-as-code technologies while ensuring platform reliability, scalability, and evolution. The role also involves mentoring engineers, troubleshooting pipelines, documenting architectures, and collaborating with cross-functional and client teams.

Responsibilities

• Leading the implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution, and Delta Share, ensuring alignment with enterprise architecture standards
• Provide technical guidance and mentorship to engineers across the team and representing data engineering in cross-functional discussions
• Apply engineering standards, including code quality, testing practices, CI/CD processes, and infrastructure as code patterns using Terraform
• Author and maintain architectural documentation, technical decision records, and platform runbooks that enable team autonomy and operational excellence
• Guide and implement optimization opportunities across data ingestion, transformation, and storage layers
• Troubleshoot complex pipeline failures across multi-system dependencies
• Collaborate with data scientists, analysts, DevOps engineers, and client teams to deliver integrated solutions that meet program objectives
• Other relevant duties as qualified and trained to perform

Skills

• Applicants must be authorized to work for any employer in the U.S
• Bachelor's degree
• Minimum of 4 years of relevant experience in Data Engineering
• Demonstrated experience working cross-functional engineering initiatives
• Proficiency in Python for data engineering tasks at scale
• Hands-on experience with Databricks Intelligence Platform (Notebooks, Lakeflow Jobs, Unity Catalog, Delta Share)
• Experience with AWS services such as S3 and IAM roles and policies
• Strong knowledge of data pipeline design and implementation, including data transformation techniques, data modeling, data storage optimization, and data security best practices
• Proficiency in using version control systems like Git for managing code repositories and collaborating with team members on Agile projects
• Familiarity with Terraform or other infrastructure as code tools for automating infrastructure deployment and configuration management
• Experience working on Linux environments for data engineering projects, including accessing containers remotely, installing packages, managing files, services, and processes
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong problem-solving skills, ability to work independently and as part of a team, and excellent verbal and written communication skills
• Comfortable working in a highly collaborative environment with strong attention to detail and a commitment to delivering high-quality software
• Ability to obtain and maintain a Public Trust security clearance
• Experience working with other data frameworks such as Apache Hive, Apache Hadoop, or Apache Spark is a plus
• Federal consulting experience
• Databricks certifications (Associate Data Engineer or Professional Data Engineer)
• Experience with business intelligence tools (e.g., QuickSight, Power BI) for building data observability or usage reporting

Benefits

• Fully Remote; this role can work remotely from anywhere in the USA.
• Flex hours
• 401K with matching incentive
• Parental Leave
• Medical/dental/vision benefits
• Flex Spending Account
• Company provided short-term disability and life insurance
• Commuter benefits
• Paid Time Off (PTO)
• 11 Paid holidays

Company Overview