Remote-First Senior Data Engineer: Real-Time Analytics

Dynatron; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-first culture

Equity Incentive Plan

Health, dental, and vision insurance

Disability and life insurance

401(k) with company match

Flexible vacation policy and 11 paid-h

Job summary

Dynatron is seeking a Senior Data Engineer to lead the data team in building robust, production-grade data pipelines powering real-time analytics, AI/ML initiatives, and enterprise reporting. You will work hands-on in AWS and modern cloud data stacks, with Snowflake or Databricks, shaping scalable data ecosystems.

You’ll mentor engineers, collaborate with Product and Analytics, and own data quality, contracts, and observability, while ensuring performance, security, and maintainability across

Qualifications

• 6-8+ years in data engineering for large-scale distributed systems.
• Expert-level Python and PySpark with strong SQL skills.
• Deep hands-on experience with Snowflake or Databricks within an AWS ecosystem.
• Streaming experience with Kinesis or Kafka.
• Automated testing frameworks, data profiling, and pipeline validation.
• Strong docs habit and ownership mindset.
• Nice-to-have: SnowPro Core, Databricks Certified Data Engineer, or AWS Data Engineer.

Responsibilities

• Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows.
• Implement modular data structures with Medallion Architecture and dimensional modeling.
• Manage scalable data storage using AWS S3 as landing zone and data lake foundation.
• Optimize storage formats (Delta, Iceberg, Parquet) and compute for performance and cost.
• Develop real-time ingestion pipelines with AWS Kinesis or Kafka.
• Implement CDC with Debezium or Fivetran for low-latency analytics.
• Own end-to-end data validation and QA in ETL/ELT pipelines.
• Enforce data contracts and schema evolution for data quality.
• Engineer ML-ready datasets and Feature Stores; operationalize ML workflows with Snowflake Cortex, Databricks AI, or AWS Bedrock.
• Mentor junior engineers; collaborate with Product and ML teams to translate designs into code.
• Document playbooks and technical specs; maintain ownership.

Skills

Python

PySpark

SQL

Snowflake

Databricks

AWS

Kinesis

Kafka

Data Modeling

ETL/ELT

Data QC

CDC

Tools

AWS Glue

Databricks Workflows

Job description

Dynatron is seeking a Senior Data Engineer to lead the data team in building robust, production-grade data pipelines powering real-time analytics, AI/ML initiatives, and enterprise reporting. You will work hands-on in AWS and modern cloud data stacks, with Snowflake or Databricks, shaping scalable data ecosystems.

You’ll mentor engineers, collaborate with Product and Analytics, and own data quality, contracts, and observability, while ensuring performance, security, and maintainability across