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When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We’ve got what you’re looking for.

Job Description:

Parsons is seeking a highly skilled and experienced Senior Data Engineer to join our enterprise data team. This senior-level role is pivotal in shaping our modern data architecture and enabling scalable, self-service analytics across the organization. The ideal candidate will have deep expertise in Snowflake, Azure Data Factory (ADF) and/or Informatica, and a strong understanding of lakehouse medallion architecture to support both batch and near-real-time data processing.

Key Responsibilities:

• Design and implement scalable, efficient data ingestion pipelines using ADF, Informatica, and parameterized notebooks to support bronze-silver-gold (medallion) architecture.
• Develop robust ETL/ELT workflows to ingest data from diverse sources (e.g., SQL Server, flat files, APIs) into Parquet/Delta formats and model them into semantic layers in Snowflake.
• Build and maintain incremental and CDC-based pipelines to support near-real-time and daily batch processing.
• Apply best practices for Snowflake implementation, including performance tuning, cost optimization, and secure data sharing.
• Leverage dbt for data transformation and modeling, and implement GitHub-based source control, branching strategies, and CI/CD pipelines for deployment automation.
• Ensure data quality, reliability, and observability through validation frameworks and self-healing mechanisms.
• Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, trusted, and accessible data.
• Mentor junior engineers and contribute to a culture of engineering excellence and continuous improvement.

Required Qualifications:

• 5+ years of experience in data engineering, data architecture, or data platform development.
• Strong hands-on experience with Snowflake, SQL, and Python.
• Proficiency in PySpark and SQL notebooks (e.g., Microsoft Fabric, Databricks, Synapse, or similar).
• Experience with Azure Data Factory and/or Informatica for building scalable ingestion pipelines.
• Deep understanding of lakehouse architecture and medallion design patterns.
• Experience with dbt, GitHub source control, branching strategies, and CI/CD pipelines.
• Familiarity with data ingestion from APIs, SQL Server, and flat files into Parquet/Delta formats.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications:

• Experience with data governance, security, and compliance (e.g., SOX, HIPAA).
• Snowflake, Databricks, and/or Azure Data Engineer certifications
• Exposure to real-time data processing and streaming technologies (e.g., Kafka, Spark Streaming).
• Familiarity with data observability tools and automated testing frameworks for pipelines.
• Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field

Security Clearance Requirement:

None

This position is part of our Corporate team.

For over 80 years, Parsons Corporation, has shaped the future of the defense, intelligence, and critical infrastructure markets. Our employees work in a close-knit team environment to find new, innovative ways to deliver smart solutions that are used and valued by customers around the world. By combining unique technologies with deep domain expertise across cybersecurity, missile defense, space, connected infrastructure, transportation, smart cities, and more, we're providing tomorrow's solutions today.

Salary Range: $100,900.00 - $176,600.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.