Data Scientist

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged – consider joining us as we explore the limitless opportunities of the software industry.

Job Summary 

As a Sr Data Engineer, you will design and implement robust data architectures for enterprise platforms, including data lakes, warehouses, and lakehouse solutions. You will build scalable data pipelines, ensure data quality and reliability, and drive modernization initiatives. Collaborating closely with data science and analytics teams, you will deliver advanced data solutions while supporting compliance and governance requirements. This role offers opportunities to mentor junior engineers, evaluate emerging technologies, and contribute to technical excellence across the organization.  

Key Responsibilities 

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  Design and implement data architecture for enterprise data platforms (data lakes, warehouses, lakehouse architectures). 

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  Build scalable data pipelines using modern ETL/ELT frameworks (e.g., Airflow, DBT); ensure data quality, reliability, and performance. 

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  Implement Change Data Capture (CDC) and real-time streaming solutions using technologies such as Kafka and Spark Streaming. 

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  Optimize data infrastructure for performance and cost, including partitioning, compression, and caching strategies. 

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  Establish data governance practices: data lineage, quality monitoring, schema management, and access controls. 

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  Lead technical initiatives for data platform modernization; evaluate and adopt new technologies and tools. 

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  Mentor junior data engineers, conduct code reviews, and establish best practices. 

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  Collaborate with data science and analytics teams to deliver data solutions for advanced analytics. 

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  Support compliance requirements for data security, privacy, and regulatory needs (e.g., GDPR, SOC2). 

Required Qualifications 
 

• 5+ years of data engineering experience building large-scale data platforms on cloud infrastructure. 

• Extensive experience with cloud data platforms: AWS (Redshift, Glue, EMR, S3), Azure (Synapse, Data Factory, ADLS), or GCP (BigQuery, Dataflow, GCS). 

• Expertise in SQL; proficiency in Python or Scala; experience with Spark for distributed data processing. 

• Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Luigi, or similar). 

• Experience with streaming platforms (Kafka, Kinesis, Pub/Sub) and event-driven architectures. 

• Deep knowledge of relational databases (PostgreSQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). 

• Strong skills in dimensional modeling, data normalization, and schema design. 

• Experience with Infrastructure as Code tools (Terraform, CloudFormation, or similar). 

• Bachelor’s degree in Computer Science, Engineering, or related field. 

• This position requires US Citizenship 

Preferred Qualifications 

• Master’s degree in Computer Science, Engineering, or related field. 

• Experience with data compliance requirements (FedRAMP, ITAR, HIPAA). 

• Experience with lakehouse platforms (Databricks, Delta Lake). 

• Experience with CDC tools (GoldenGate, Debezium). 

• Oracle Cloud experience. 
   

   

Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings.

Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

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