Job Description

Job Title: Data Engineer

Location: Open (U.S. based, travel as needed)

We are looking for a Data Engineer to design, build, and optimize modern data platforms that support advanced analytics and AI solutions. In this role, you will work with cross-functional teams to develop scalable data pipelines, manage secure data environments, and help organizations unlock the full value of their data.

What You'll Do

• Design and build batch and real-time data pipelines
• Develop and optimize large-scale data processing workflows
• Implement secure, reliable, and high-performing data solutions
• Work with structured and unstructured data across cloud and on-prem systems
• Collaborate with data scientists, engineers, and business stakeholders
• Support AI and machine learning use cases, including modern applications like RAG and vector databases
• Improve data quality, accessibility, and performance across systems

What You'll Work On (Examples)

• Streaming platforms for real-time analytics
• Data pipelines that improve reporting speed and decision-making
• Optimization of large-scale data workflows to reduce cost and improve efficiency
• Data solutions that support AI and advanced analytics initiatives

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• 8+ years of experience in data engineering, software engineering, or similar roles
• Strong programming skills in Python, Scala, or Java
• Advanced SQL skills, including performance tuning and complex query optimization
• Hands-on experience with SQL Server and relational database design
• Experience with cloud platforms (AWS, GCP, Azure, or similar)
• Familiarity with modern data tools such as Snowflake, BigQuery, Redshift, or Delta Lake
• Experience with tools like Databricks, dbt, or AWS Glue
• Knowledge of distributed systems (Spark, Flink, etc.) and streaming tools (Kafka, Kinesis)
• Experience with workflow orchestration tools like Airflow or Prefect
• Understanding of DataOps, CI/CD, and monitoring tools
• Exposure to ML platforms or AI tools is a plus
• Strong communication and problem-solving skills

What We Offer

• Competitive compensation and benefits
• Opportunities to work on cutting-edge data and AI projects
• A collaborative, fast-paced environment
• Strong focus on learning, mentorship, and career growth
• Exposure to diverse industries and business challenges

Candidates must be authorized to work in the U.S. without current or future sponsorship.