A- Work from
- United States
- Contract
- Full-time
- Experience
- Senior
- Posted
- 14 November 2026
- Apply by
- 13 January 2027
As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders.
ASRC Federal is seeking a Senior Backend Software Engineer with strong experience in ETL development and relational database performance for a remote, full-time position
This role will design, develop, and optimize data pipelines and the database backend supporting our applications. Primary responsibilities include implementing data ingestion and transformation workflows, developing ORM-based data access using Java persistence frameworks, and optimizing SQL and database operations.
The ideal candidate is passionate about building robust, scalable systems. They bring strong software engineering fundamentals and can troubleshoot performance across Java application code, ORM-generated queries, and relational databases. Backend services and API development will support data integration, processing, and retrieval.
Responsibilities
Design, develop, and maintain Java-based ETL workflows that extract, transform, validate, and load data from databases, APIs, files, and other source systems.
Implement data cleansing, transformation, deduplication, and reconciliation to ensure accurate and consistent downstream data.
Develop incremental loading, batching, retry, and recovery processes that support reliable execution and safe reprocessing without duplicate records
Build and maintain ORM-based data access layers using Java persistence frameworks such as JPA/Hibernate, including entity mappings, relationships, and transaction management.
Develop and optimize SQL queries supporting application functionality and data processing.
Inspect SQL generated by JPA/Hibernate in Spring applications and analyze database execution plans to identify inefficient joins, excessive database calls, unnecessary data retrieval, and other performance bottlenecks.
Improve database performance through appropriate indexing, query restructuring, batching, pagination, and relationship-loading strategies.
Design and maintain relational schemas, constraints, indexes, and versioned database migrations.
Select ORM operations, parameterized SQL, or database-native bulk operations according to workload, maintainability, and performance requirements.
- Implement and optimize OpenSearch or Elasticsearch queries, filters, and aggregations
- troubleshoot search performance and maintain consistency between source data and search indexes. Monitor pipeline reliability, data quality, processing throughput, and query response times
- troubleshoot production issues and demonstrate measurable improvements
Create automated tests for transformation logic, database interactions, data integrity, and recovery behavior
Collaborate with engineers and stakeholders to define requirements, document data mappings, and review database and pipeline designs.
Design, develop, and maintain GraphQL APIs and resolvers to support efficient data retrieval and integration with backend services and relational databases.
Develop and optimize database integrations using Amazon Aurora within Amazon RDS in AWS, including connection management, schema migrations, ETL workflows, and query performance tuning.
Requirements
BS/BA degree (or equivalent) plus 8-10 years experience in related field.
- We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance
- 401(k)
- education assistance
- paid time off including PTO, holidays, and any other paid leave required by law
The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.
Nice to have
Experience with workflow orchestration, job scheduling, change data capture, and pipeline monitoring.
Experience diagnosing ORM performance issues such as N+1 queries, inefficient relationship loading, and excessive entity loading.
Experience processing large datasets within defined delivery windows while managing database resource utilization.
Familiarity with Apache Spark for ETL and distributed data processing.
About ASRC Federal
ASRC Federal is a leading government contractor furthering missions in space, public health and defense. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
Required Technical Qualifications
Strong Java development experience building and supporting production backend applications.
Demonstrated experience designing, developing, and maintaining ETL pipelines and data integration workflows.
Hands-on experience with Java Spring ORM and persistence frameworks such as JPA/Hibernate.
Experience writing and optimizing JPQL and SQL queries, including troubleshooting ORM-generated SQL.
Strong SQL proficiency, including complex joins, common table expressions, window functions, aggregations, and set-based processing.
Experience analyzing database execution plans and improving query performance through indexing and query changes.
Experience with relational data modeling, schema migrations, entity relationships, and transaction management.
Understanding of database isolation levels, locking, and concurrency.
Experience implementing data validation, incremental processing, error handling, and recoverable data workflows.
Experience with version control, code review, automated testing, and software deployment practices.
Ability to explain production performance improvements using measured results.
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