Senior Software Engineer – Spark & Airflow Data Pipelines

Ctrl +•Fort Meade, MD

2d•Onsite

About The Position

The Senior Software Engineer designs data pathways that keep analytics moving by building reliable data ingress and egress flows powered by Apache Spark and Apache Airflow. The role supports distributed data processing and analytics workloads that help mission teams work with large, varied datasets. The position is based in Fort Meade, Maryland and requires in-person work; applicants must live within commuting distance and currently hold an active TS/SCI clearance with polygraph. Ctrl+ does not sponsor new security clearances or clearance upgrades. Some roles may allow limited telework, but regular on-site attendance is required and this is not a fully remote position. Compensation is approximately $123.63–$136.51 per hour, excluding the employer 401(k) contribution. Hourly pay varies based on qualifications, experience, and the compensation model selected. Three models are available: Max Rate, With Bonus, or With Bonus and PTO. PTO and bonuses depend on the selected model and role eligibility. The lower end reflects a no-bonus option with five weeks of PTO; the upper end reflects the Max Rate option without bonus or PTO. Offers include a projected five-year compensation comparison and a package comparison sheet.

Requirements

Seven years of relevant experience with a bachelor's degree in Computer Science or a related discipline; five years with a master's degree; or nine years without a degree.
Currently hold an active TS/SCI clearance with polygraph.
Linux command-line tools.
Bash scripting.
Recent Python and Java development.
Apache Airflow DAG design, scheduling, operators, and sensors.
Apache Spark or similar distributed processing engines.
SQL with MySQL, MariaDB, or PostgreSQL.
Jupyter, pandas, and NumPy.
Parquet, JSON, CSV, and XML data.
Git.
Must live within commuting distance of the Fort Meade, Maryland work location and be able to work in person.

Nice To Haves

Slurm or other HPC job schedulers.
Jira and Confluence.

Responsibilities

Design and optimize data ingress and egress pathways.
Build and tune Apache Spark distributed processing jobs.
Orchestrate and monitor workflows with Apache Airflow.
Wrangle structured, semi-structured, and unstructured data.
Apply data quality, validation, and anomaly detection practices.

Benefits

10% employer 401(k) non-elective contribution.
Employer-paid life insurance.
Short- and long-term disability insurance.
Medical, dental, and vision coverage options.
Employee Assistance Program.
Professional development and certification reimbursement.
Technology and ergonomic equipment reimbursement, subject to eligibility.
Referral and retention bonus programs, subject to eligibility.
Paid social and team events.
Compensation models may include bonus and/or PTO, depending on the selected model and role eligibility.