Coveware-Principal Software Engineer, Data

About the Role

Key Responsibilities

• Designing and implementing scalable ETL/ELT data pipelines handling large volumes of data to support global expansion of forensics products.
• Driving the expansion and management of data processing infrastructure across multiple AWS regions.
• Analyzing current data architecture for security, scalability, performance, and data quality, and implementing appropriate solutions.
• Developing and deploying serverless data processing solutions using AWS Lambda, orchestrated with Apache Airflow.
• Designing and optimizing data architecture within relational databases (e.g., AWS RDS) and data warehouses (e.g., AWS Athena).
• Collaborating with cross-functional teams to understand data processing requirements and translate them into technical solutions.
• Writing clean, maintainable, and well-documented code following best practices with data quality and security in mind.
• Implementing observability and alerting for data pipelines to proactively identify and resolve issues.
• Conducting code and data pipeline reviews, providing constructive feedback, and mentoring peers to ensure data quality and continuous improvement.

Requirements

• 10+ years of experience as a software engineer, with most of it in building and deploying production data pipelines at scale in the cloud, preferably AWS, using orchestration tools like Apache Airflow.
• Proven experience in designing and scaling highly-performant data pipelines leveraging AWS services such as S3, Athena, Lambda, and RDS.
• Fluency in a modern programming language relevant to data engineering (e.g., Python).
• Strong experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., AWS Athena).
• Experience leading other engineers in designing and implementing data pipelines and infrastructure.
• Experience running data pipelines in multiple cloud environments is highly desirable.

Nice to Have

• Experience in leading teams or mentoring other engineers.
• Experience with Terraform, Elasticsearch, Github.
• Experience with running data pipelines across multiple cloud environments.

Qualifications

• Educational background is not explicitly specified, but extensive experience (10+ years) in software engineering and data pipelines is required.

Benefits & Perks

• Unlimited PTO
• Medical, dental, and vision benefits that start on day one
• Flexible spending accounts
• Life insurance and short-term and long-term disability coverage
• Family planning support benefits, including 100% paid maternity and parental leave
• 401k match
• Veeam Care Days for volunteering activities
• Professional training and education, including courses, workshops, internal meetups, and unlimited access to online learning platforms (Percipio, Athena, O'Reilly)
• Mentoring through the MentorLab program