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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Database Developer - **Company:** Koniag Services, Inc. - **Location:** Chantilly, VA, United States (Remote available) - **Experience:** Expert - **Salary:** $155,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Business Logic, Microsoft Azure, Backup Devices, BASIC (Programming Language), Big Data, Bioinformatics, Cloud Database, Code Reuse, Databases, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Connection, Database Development, Software Debugging, Dimensional Modeling, Entity Relationship Models, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, NumPy, Performance Tuning, Query Optimization, SQL Stored Procedures, SQL Databases, Systems Integration, Technical Data Management Systems, Transact-SQL, Data Logging, Data Processing, Scripting, Database Optimization, Indexer, Git, Pandas, Information Technology, Software Version Control, Data Pipelines, Serverless Computing - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_koniag-9834 ## About the Role The ideal candidate will be adept at managing both data engineering and infrastructure requirements to support seamless data processing, deployment, and monitoring. **Education and Experience Required:** + Bachelor's degree in computer science, Data Development, Information Technology, or a related field + 7+ years of experience in data engineering, data architecture, or similar technical roles + Demonstrated expertise in database systems, data warehousing, and ETL processes + 6+ years as Python programming language expert **Required Skills and Competencies:** + ETL/ELT Processes - Building data pipelines using a mix of stored procedures, views, and Python scripts. Knowledge of tools like dbt (for SQL transformations) or simple orchestration (e.g., Airflow basics) is a plus + Data Quality & Testing - Implementing checks, validation, and monitoring for pipelines + Version Control & Collaboration - Git for code (Python + SQL scripts), plus experience with CI/CD basics + Performance & Scalability - Tuning for large volumes, understanding indexing/partitioning impacts, and basic cloud database concepts + Soft Skills - Problem-solving for debugging complex queries/pipelines, clear documentation of models and procedures, and ability to collaborate with members of a team **Data Modeling:** + Strong experience in designing relational schemas + Entity-Relationship (ER) modeling, dimensional modeling, and understanding trade-offs between normalization vs. denormalization + Practical application: Creating efficient table structures, relationships, constraints, and indexes to support query performance and scalability **Advance SQL & Database Querying:** + Mastery of complex queries: JOINs (all types), subqueries, CTEs (Common Table Expressions), window functions (ROW_NUMBER, RANK, LAG/LEAD, etc.), aggregation, pivoting, and recursive queries + Query optimization and performance tuning: Indexing strategies, execution plans, partitioning, and handling large datasets efficiently + Advanced techniques: CASE statements, dynamic SQL, error handling, and working with timestamps/time zones **Database Administration & Objects:** + Creating and managing stored procedures (for encapsulating business logic, ETL processes, and reusable code) + Creating and optimizing views (including materialized views where supported) for exposing cleaned/transformed data to reporting applications + Other DBA tasks: Triggers, user-defined functions, permissions/security, backups, and basic maintenance + Familiarity with ACID properties, constraints, and database-specific features **Python Programming for Data Engineering:** + Solid proficiency in Python for scripting, automation, and data manipulation + Key libraries: pandas (data wrangling), NumPy, SQL Alchemy or psycopg2/pyodbc (for database connectivity), requests (APIs), and basic ETL scripting + Writing modular code: Functions, classes, error handling, logging, and integrating Python with databases (e.g., running queries, loading data, or orchestrating processes) + Experience building or supporting data pipelines that combine Python with SQL (e.g., Python calling stored procedures or handling complex transformations) **Relational Database Experience:** + Hands-on work with at least one major RDBMS (e.g., SQL Server for T-SQL/stored procedures, PostgreSQL, MySQL (Preferably) + Understanding of database-specific dialects, as stored procedures and advanced features vary (e.g., T-SQL vs. PL/pgSQL) **Other Key Skills:** + Excellent problem-solving and analytical abilities with attention to detail + Strong communication and collaboration skills in cross-functional and distributed teams **Security Requirement:** + Ability to obtain Public Trust **Our Equal Employment Opportunity Policy** The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment. ## Description Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. Koniag IT Solutions is in search of a talented Database Developer to join our team. The Database Developer will play a critical role in designing, building, and maintaining data systems to support business needs. The ideal candidate will have a strong background in data architecture, data modeling, and data warehousing, with expertise in data manipulation and transformation. We are seeking a highly skilled and technical Data Developer to join our team. This role will focus on data modeling, building, and optimizing data engineering pipelines, implementing CI/CD practices, and developing serverless functions, across AWS and Azure environments.