Senior Data Engineer (Remote) jobs in United States
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Parsons Corporation · 1 month ago

Senior Data Engineer (Remote)

Parsons Corporation is a leader in the defense, intelligence, and critical infrastructure markets, dedicated to delivering innovative solutions. They are seeking a Senior Data Engineer to help shape their modern data architecture and enable scalable analytics across the organization.

Building MaterialConstructionConsultingIndustrial EngineeringInformation TechnologyInfrastructureMilitarySecurity
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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

Qualification

T-SQLPythonAzure Data FactoryDbtSnowflakeETL/ELT workflowsData governanceRelational Database systemsProblem-solving skillsMentoring

Required

Strong hands-on experience with T-SQL and Python
Experience with Relational Database systems
Experience with both on-premises / cloud ETL toolsets (preferably SSIS, ADF, Synapse, AWS)
Familiar with multi-dimensional and tabular models
5+ years of experience in data engineering, data architecture, or data platform development
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
US person

Preferred

Experience with comprehensive data conversion projects is preferred (ERP systems including Oracle Cloud ERP and/or SAP S4/HANA)
Experience with data governance, security, and compliance (e.g., SOX, HIPAA)
Snowflake, Azure Data Engineer, dbt, and/or Databricks 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

Benefits

Medical
Dental
Vision
Paid time off
Employee Stock Ownership Plan (ESOP)
401(k)
Life insurance
Flexible work schedules
Holidays

Company

Parsons Corporation

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Parsons is an engineering, construction, technical and management services firm for national security and global infrastructure markets.

Funding

Current Stage
Public Company
Total Funding
$700M
2024-02-21Post Ipo Debt· $700M
2019-05-07IPO

Leadership Team

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Carey Smith
Chair, President and CEO
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Matthew Ofilos
Chief Financial Officer
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Company data provided by crunchbase