Senior Software Engineer - Data Engineering

JOB SUMMARY

We are seeking an experienced and strategic Senior Software Engineer - Data Engineering to lead the design, development, and optimization of our enterprise-scale data infrastructure. In this role, you will architect and champion highly scalable, secure, and cost-effective data systems that power analytics, reporting, ML, and data products across the organization. This role combines hands-on technical leadership, cross-functional influence, platform ownership, and mentorship of engineering teams. You’ll be a core contributor to our long-term data strategy, execution, and operational excellence.

As a Staff Data Engineer, you will work closely with engineering leadership, data scientists, analysts, product managers, and stakeholders to translate business needs into robust, production-grade data solutions.

• Platform & Strategy Impact: You won’t just write pipelines — you’ll define how data is built, shared, governed, and evolved across the company.
• Leadership Beyond Code: Influence engineering standards, technology choices, and business outcomes.
• Cross-Team Visibility: Work with diverse teams from analytics to product to executive leadership.
• Ownership & Autonomy: Champion initiatives from architectural plans through deployment and live operations.

Key Responsibilities:

Architect & Build

• Lead the architecture, design, and implementation of scalable data platforms (data lakes, warehouses, streaming, OLAP/OLTP stores).
• Define and own end-to-end data pipeline frameworks for real-time and batch data ingestion, processing, transformation, and serving.
• Establish reusable frameworks and abstraction layers that increase development velocity and reduce operational risk.

Technical Leadership & Strategy

• Drive long-term strategy for data infrastructure, tooling, and processes aligned with business goals.
• Act as technical authority and point of escalation for complex data engineering challenges.
• Set standards for engineering excellence (code quality, architecture, performance, security, observability, and cost-efficiency).

Cross-Functional Collaboration

• Partner with product and business teams to understand analytic and operational requirements and translate them into deliverables.
• Collaborate with data scientists and ML engineers to productionize models and analytics.
• Influence cross-team prioritization and roadmap decisions through technical insight and business impact.

Platform Reliability & Operations

• Build and enforce robust practices for monitoring, alerting, quality, change management, and incident response.
• Ensure data accuracy, reliability, lineage, and compliance across data workflows.
• Lead architectural capacity planning, performance tuning, and cost optimization initiatives.

Mentorship & Team Development

• Coach and mentor senior and mid-level data engineers; provide technical reviews and guidance.
• Help build a strong engineering culture focused on collaboration, learning, and high-quality delivery.

What you’ll need:

• 10+ years of professional experience in data engineering, software engineering, or related fields.
• Proven experience architecting large-scale data platforms used for analytics, operational reporting, and ML/AI.
• Deep expertise in designing and building scalable ETL/ELT pipelines, data warehouses, and data lakes.
• Strong background in distributed data processing (e.g., Spark, Flink, Hadoop) and realtime systems (e.g., Kafka, Kinesis).
• Demonstrated success owning engineering workstreams end-to-end (design → deployment → operational support).

Technical Skills

• Advanced proficiency in SQL and at least one programming language (Python, Java, Scala).
• Experience with cloud data platforms and infrastructure (AWS preferred: Redshift, S3, Glue, Lambda, EMR, Athena, Kinesis).
• Data modeling expertise (dimensional, star/snowflake schemas, OLAP design).
• Strong understanding of data governance, quality frameworks, and metadata practices.
• Hands-on experience with orchestration tools (e.g., Airflow, dbt, or similar).

Leadership & Communication

• Exceptional problem-solving, analytical, and strategic thinking skills.
• Excellent written and verbal communication; capable of translating complex concepts for technical and non-technical audiences.
• Track record of influencing technical direction and collaborating with senior leadership.

Nice-to-Have Qualifications:

• Master’s degree or higher in Computer Science, Engineering, Mathematics, or related field.
• Experience in highly regulated or consumer-facing environments with strong security and compliance needs.
• Prior experience mentoring across teams and shaping engineering culture.
• Familiarity with containerization, CI/CD, IaC (Terraform/CloudFormation), and observability tools.

If you are a highly motivated and results-driven individual, with a passion for driving growth in a fast-paced, entrepreneurial environment,  we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work culture that values collaboration, innovation, and personal development.

Base Compensation:  $166,000 - $172,000 per year