Über
Remote Clearance:
Must be able to obtain a
Public Trust
(U.S. Citizen/Green Card) Salary:
$120,000 - $125,000/year
Overview
KeyLogic is seeking a Data Engineer to support mission-critical data engineering initiatives. This role is ideal for someone who can operate independently, lead major technical assignments, and design reliable, scalable data solutions that improve how data powers business operations.
You’ll own complex data pipeline development and database performance/maintenance work across Oracle and PostgreSQL, while helping modernize orchestration, governance, and cloud-based analytics tooling.
What You’ll Do
Provide leadership on major tasks or technical assignments. Works on high-visibility or mission critical aspects of a given product(s) and performs functional duties
independently. Establishes goals and plans that meet product objectives. Has domain and expert technical knowledge. May supervise others.
Key Qualifications
Ability to independently manage Oracle and Postgres SQL databases by designing efficient schemas, optimizing complex SQL queries, and automating ETL/ELT pipelines
Experience with performance tuning (indexing, vacuuming), implementing data quality checks, managing backups/restores, and utilizing PSQL for database administration
Past experience successfully developing data pipelines — independently building robust, efficient data pipelines, managing schema evolution, handling late-arriving data, and implementing backfill strategies
Demonstrated ability to design efficient table structures, implement star/snowflake schemas, and utilize data lake technologies
Familiarity with database schema change management tools such as Liquibase
Technical Proficiency: Advanced SQL, strong Python, and working with big data technologies such as Apache Spark, Kafka, and Airflow for orchestration
Cloud Infrastructure & DevOps: Utilizing cloud services (e.g., Databricks) and infrastructure-as-code tools like Terraform and Kubernetes
Data Quality & Governance: Implementing data quality checks, testing with Pytest, and managing data lineage to ensure reliability
Collaboration: Working with stakeholders to translate business requirements into technical solutions and documenting data processes
Data Maintenance: Demonstrated ability to create and follow low-risk processes to handle business-requested data maintenance activities
Business Context: Understands how data drives business processes; able to collaborate with stakeholders to design/modify data processes and procedures to meet operational needs
Experience using AI-assisted development tools
Ability to obtain a Public Trust clearance
Education & Experience Requirements
Must meet
one
of the following:
BA/BS + 10 years
of experience
MA/MS (or higher) + 8 years
of experience
14 years
of experience in lieu of a degree
Sprachkenntnisse
- English
Hinweis für Nutzer
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