Senior Data Engineer - Data Lakes & Real-Time Pipelines

Deltek; United States; On-site; USD 72,000 - 127,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with company match

Paid vacation & holidays

Disability coverage

Life insurance

Tuition reimbursement

Job summary

Deltek is seeking a Sr Data Engineer to design and implement robust data architectures across enterprise platforms including data lakes, warehouses, and lakehouses. You will build scalable pipelines, ensure data quality, and drive modernization while collaborating with data science teams.

You will mentor junior engineers, evaluate new technologies, and contribute to governance, security, and compliance efforts across the organization.

Qualifications

• 5+ years of data engineering on cloud platforms.
• Experience with AWS, Azure, or GCP data services.
• Proficiency in SQL and Python/Scala; Spark experience.
• Experience with data pipeline orchestration tools (Airflow, DBT, Luigi).
• Experience with streaming platforms (Kafka, Kinesis, Pub/Sub).
• Knowledge of relational and NoSQL databases.
• IaC tools (Terraform, CloudFormation).
• Bachelor’s degree in CS/Engineering; US Citizenship required.

Responsibilities

• Design and implement robust data architectures for enterprise platforms (data lakes, warehouses, lakehouse).
• Build scalable data pipelines using modern ETL/ELT frameworks; ensure quality and performance.
• Implement CDC and real-time streaming with Kafka/Spark; ensure governance and security.
• Collaborate with data science and analytics teams to deliver data solutions.
• Mentor junior data engineers and establish best practices.

Skills

Data engineering

Cloud platforms

SQL

Python/Scala

Spark

Airflow/DBT

Kafka

Terraform/IaC

Education

Bachelor’s degree in CS/Engineering

Tools

Airflow

DBT

Luigi

Job description

Deltek is seeking a Sr Data Engineer to design and implement robust data architectures across enterprise platforms including data lakes, warehouses, and lakehouses. You will build scalable pipelines, ensure data quality, and drive modernization while collaborating with data science teams.

You will mentor junior engineers, evaluate new technologies, and contribute to governance, security, and compliance efforts across the organization.