Data Engineer

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Position Type: Direct Hire (Full‑Time, Salary)

Location: Tampa, FL — Hybrid

Compensation: $80,000/year – $175,000/year (DOE)

Clearance Requirement: U.S. Citizenship required. Active Top Secret Clearance required.

Hiring Timeline: Immediate

Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with Launch Code; it is a position through Launch Code, working with one of our partner companies.

Disclaimer: We are unable to provide work sponsorship for this role. We are unable to consider candidates for this role who have a current or future work sponsorship need (this includes those holding extended OPT Visas).

Our Company Partner is seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

• Design, develop, and implement end‑to‑end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, PySpark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high‑performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
• Troubleshoot data‑related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Work closely with cross‑functional teams to understand data requirements and design optimal data models and architectures.
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision‑making processes.
• Maintain documentation for software applications, workflows, and processes.
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.

• Active Top Secret Clearance required.
• High level of proficiency in ETL processes and demonstrated, hands‑on experience with Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Strong problem‑solving skills and ability to solve complex data‑related issues.
• Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
• Understanding of data modeling/visualization, database design principles, and data governance practices.
• Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional teams.
• Detail‑oriented mindset with a commitment to delivering high‑quality results.

• Compensation considerations include prior experience, skills, expertise, location, and other factors permitted by law.
• Healthcare and Dental Plans for employees and families.
• Retirement Plan:
  Competitive 401(k) plan with 100% match up to the first 6% and access to Vanguard Admiral funds.
• Paid Time Off:
  Generous paid leave based on length of service.
• Bonus System:
  Bonuses awarded to employees who meet and exceed goals throughout the year.
• Professional Development:
  Support for career growth through training programs and certifications.
• Company Retreats & Team Events:
  Sponsored trips, team‑building activities, and annual conferences related to skills.

Flexible work from home options available.