
51 - 200 employees
Founded 2001
🏛️ Government
🤝 B2B
Government • B2B
Bixal is a mission-driven digital services firm that partners with governments and leading organizations to design and deliver data-driven, human-centered digital transformations. The company combines technology, communications, data, and design to build digital customer experiences, modern software solutions, and training/technical assistance that improve public-sector outcomes and organizational impact.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $130k - $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
Founded 2001
🏛️ Government
🤝 B2B
Government • B2B
Bixal is a mission-driven digital services firm that partners with governments and leading organizations to design and deliver data-driven, human-centered digital transformations. The company combines technology, communications, data, and design to build digital customer experiences, modern software solutions, and training/technical assistance that improve public-sector outcomes and organizational impact.
• Lead the design and 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. • Serve as a subject matter expert (SME) for data engineering, providing technical guidance and mentorship to engineers across the team and representing data engineering in cross-functional discussions. • Take ownership of platform reliability and performance, proactively identifying optimization opportunities across data ingestion, transformation, and storage layers. • Troubleshoot complex pipeline failures across multi-system dependencies. • Lead cross-functional technical initiatives, collaborating with data scientists, analysts, DevOps engineers, client teams (upstream data providers and downstream consumers), and stakeholders to deliver integrated solutions that meet program objectives. • Contribute to the data platform technical vision and architecture, making strategic decisions on tooling, frameworks, and design patterns that shape the program's long-term data engineering direction. • Define and enforce engineering standards, including code quality, testing practices, CI/CD processes, and infrastructure as code patterns using Terraform. • Evaluation of new technologies and approaches, presenting proof of concepts and technical roadmaps to leadership. • Author and maintain architectural documentation, technical decision records, and platform runbooks that enable team autonomy and operational excellence. • Other relevant duties as assigned and qualified/trained to perform.
• Bachelor’s degree. • Minimum of 5 years of experience in Data Engineering. • Demonstrated experience serving as a technical SME and leading cross-functional engineering initiatives. • Proficiency in Python for data engineering tasks at scale. • Deep expertise with Databricks Intelligence Platform (Notebooks, Lakeflow Jobs, Unity Catalog, Delta Share) and the ability to define platform standards and best practices for the team. • 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.
• 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
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