Remote Cloud Data Engineer (SQL, Spark, Databricks)

Initiate Government Solutions, LLC.

Washington (District of Columbia)

Remote

USD 120,000 - 180,000

Full time

3 days ago

Be an early applicant

Application generator

Turn this role into an interview — a resume and cover letter built around what this employer wants.

Get past ATS filters

Benefits offered by this job

Medical benefits

Dental & Vision

401K with match

Paid time off

Education assistance

Spot bonuses

Job summary

Initiate Government Solutions is seeking a remote Database Engineer to support federal customers and modernize data platforms. You will design scalable cloud databases, migrate on-premises sources to cloud targets, and enforce security controls in line with federal standards.

Collaborate with product managers, engineers, security specialists, and business analysts to deliver API-ready data platforms using Databricks, Spark, and Terraform, ensuring availability and compliance across dev, test,

Qualifications

Bachelor’s degree in Information Technology, Computer Science, Public Administration, or related field (Master’s preferred).
Hands-on experience with relational databases including SQL Server and distributed SQL platforms such as CockroachDB; familiarity with Amazon RDS or equivalent cloud-managed database services.
Strong ability to query, design, and architect databases for performance and scalability.
Experience with cloud platforms (e.g., AWS, Azure) and cloud-native database services.
Familiarity with distributed SQL or NewSQL database platforms; experience with columnar and open table formats such as Parquet and Delta Parquet.
Proficiency in scripting and automation tools (e.g., Terraform, CloudFormation, Bash, Python).
Proficiency in Python for data engineering tasks including pipeline development, data transformation, and test data generation.
Experience with big data processing frameworks, particularly Apache Spark, for large-scale data transformation and pipeline execution.
Experience developing and maintaining ETL workflows using Databricks or a comparable notebook-based data platform.
Strong understanding of security, compliance, and data governance standards.
Excellent communication skills and attention to detail.
Analytical mind and problem-solving aptitude
Ability to obtain and maintain a Public Trust security clearance
Ability to work in the United States without sponsorship and US Citizenship because of clearance requirement
Strong organizational skills

Responsibilities

Database Architecture & Design: Design scalable, secure, and highly available cloud database solutions.
Cloud Database Provisioning: Migrate on-premises relational database sources to cloud-based target platforms.
Performance Monitoring & Optimization: Monitor database performance and optimize queries.
Security & Compliance: Implement access controls, encryption, and auditing.
Backup & Disaster Recovery: Validate migrated data and develop test data strategies.
Automation & Scripting: Develop and maintain ETL notebooks and workflows using Python and Terraform.
ETL Pipeline Development: Build data pipelines with Databricks notebooks and Apache Spark.
Synthetic Data Generation: Generate and load synthetic data for testing.
Cost Optimization: Monitor and optimize database resource usage.