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Database Developer (REMOTE)
Koniag Government Services
- United States
- United States
À propos
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
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. 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.
The company is dedicated to seeking all qualified applicants.
If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
Job Details Job Family
Databases and Data Warehousing
Job Function
Database Architect
Pay Type
Salary
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Compétences linguistiques
- English
Avis aux utilisateurs
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