SDE Senior Data Engineer Full-time · Contract · Client engagement Remote - US Posted May 29, 2026

Symantrix inc; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

Symantrix inc is seeking a Senior Data Engineer to build and scale a data platform for analytics and product teams. This role involves designing reliable data pipelines and ensuring the platform is production-ready.

The ideal candidate should have at least 6 years of experience in data engineering, strong skills in SQL and Python, and familiarity with cloud data warehouses such as Snowflake. This is a long-term, fully remote contract position.

Qualifications

• 6+ years in data engineering building production pipelines.
• Strong SQL and Python; experience with Spark or similar distributed processing.
• Hands-on with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Orchestration with Airflow or dbt and solid ETL/ELT design.
• Experience with streaming (Kafka or Kinesis) and data modeling.

Responsibilities

• Design, build, and operate batch and streaming data pipelines feeding analytics and product features.
• Model and document datasets for analysts, data scientists, and application teams.
• Implement data quality, observability, and alerting across the platform.
• Optimize warehouse performance and storage cost.
• Collaborate with the Client's analytics and engineering teams on requirements and delivery.

Skills

Data engineering

SQL

Python

Spark

Cloud data warehouse (Snowflake, BigQuery, or Redshift)

Airflow or dbt orchestration

Streaming (Kafka or Kinesis)

Data modeling

Education

Bachelor's degree in Computer Science, Data Engineering, or related field

Tools

Snowflake

BigQuery

Redshift

Airflow

dbt

Kafka

Kinesis

Job description

Symantrix is hiring a Senior Data Engineer on behalf of a Client to build and scale the data platform behind their analytics and product teams. You will design reliable batch and streaming pipelines, model data for downstream consumers, and harden the platform for production. This is a fully remote, long-term contract engagement placed and managed by Symantrix.

Engagement

Contract via Symantrix

Client

Confidential

Remote — United States

Hours

Overlap Central Time

Duration

12 months, extendable

Openings

1

Fully remote within the United States, overlapping Central Time business hours. The engagement is managed end-to-end by Symantrix; the Client name is shared with shortlisted candidates.

Job duties

• Design, build, and operate batch and streaming data pipelines feeding analytics and product features.
• Model and document datasets for analysts, data scientists, and application teams.
• Implement data quality, observability, and alerting across the platform.
• Optimize warehouse performance and storage cost.
• Collaborate with the Client's analytics and engineering teams on requirements and delivery.

Required skills

• 6+ years in data engineering building production pipelines.
• Strong SQL and Python; experience with Spark or similar distributed processing.
• Hands-on with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
• Orchestration with Airflow or dbt and solid ETL/ELT design.
• Experience with streaming (Kafka or Kinesis) and data modeling.

Nice to have

• Experience with lakehouse architectures (Databricks, Delta, or Iceberg).
• Infrastructure as code and CI/CD for data workflows.
• Exposure to ML feature pipelines.

Education

Bachelor's degree in Computer Science, Data Engineering, or a closely related field; equivalent experience considered.

Experience

• Track record owning a data platform or a major pipeline in production.
• Self-directed in a fully remote, distributed team.