Senior Software Engineer - Data Engineering

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.

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).

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.

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.

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.

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).

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.

Competitive salary packages

Comprehensive medical, dental, vision, and life insurance benefits for you and your family

Flex PTO for exempt employees and competitive PTO for non-exempt

Paid parental leave for eligible employees

401(k) matching

Tuition reimbursement on approved programs

Great health & well-being benefits including Teladoc for general medical and mental health care

These benefits are only applicable to full-time employees

All iTradeNetwork positions are hybrid unless listed otherwise; candidates must be located in the hub(s) listed.