Database Developer (REMOTE)

Koniag IT Systems, LLC a Koniag Government Services company, is seeking a Database Developer to support KITS and our government customer. The position is remote. This position requires the candidate to be able to obtain a Public Trust to support KGS and our government customer.

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 or by calling 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 #J-18808-Ljbffr