Senior Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Atlanta, GA is seeking a Senior Data Engineer to design, build and operate production-grade batch and streaming data pipelines across SQL Server, cloud applications, device/event streams, and CRM sources.

You will implement lakehouse layers with Iceberg and Trino, develop data models for buildings, tenants and devices, ensure data quality, monitoring, and security, and own CI/CD, IaC, and on-call activities with global teams.

Qualifications

• 6+ years in data engineering or data platform development.
• Expert SQL with performance tuning and complex queries.
• Proficiency in Python, Java, or Scala.
• Hands-on with Iceberg, Delta Lake, or Hudi.
• Experience with Trino/Presto/Spark SQL and Snowflake.
• Work with streaming and CDC tools like Flink and Kafka.
• Strong dimensional modeling, data quality, and data contracts.
• Kubernetes, CI/CD, and infrastructure-as-code experience.
• Ability to troubleshoot complex production data issues.

Responsibilities

• Build and operate production-grade batch and streaming data pipelines.
• Develop ingestion, transformation, and enrichment workflows.
• Implement lakehouse layers with Iceberg and Trino across zones.
• Model dimensional structures for buildings, tenants, devices, and people.
• Ensure data quality checks, monitoring, lineage, and alerts.
• Maintain integration between lakehouse and Snowflake with secure sharing.
• Own CI/CD pipelines, automated testing, and IaC for deployments.
• Provide production support, incident response, and RCA.
• Collaborate with Product, QA, DevOps, Analytics, and distributed teams.

Skills

Strong SQL

Python/Java/Scala

Apache Flink

Kafka

Snowflake

Trino / Presto / Spark SQL

Apache Iceberg

Kubernetes / Containers

Data Modeling

Data Quality & Monitoring

Tools

Apache Iceberg

Delta Lake

Apache Hudi

Trino

Presto

Spark SQL

Snowflake

Kubernetes

Infrastructure as Code

Job description

Job Overview

• Job ID: J53450
• Job Title: Senior Data Engineer
• Location: Atlanta, GA
• Duration: 12 Months + Extension
• Domain Exposure: Aerospace/ Airlines
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job Summary

• Build and operate production-grade batch and streaming data pipelines across SQL Server, cloud applications, device/event streams, Customer Relationship Management systems, and third-party sources.
• Develop ingestion, transformation, and enrichment pipelines using Apache Flink, Kafka, Change Data Capture, SQL, and Python/Java/Scala.
• Implement lakehouse data layers across landing, raw, conformed, and consumption zones using Apache Iceberg and Trino.
• Build dimensional and analytical models for entities such as buildings, tenants, credentials, devices, and people.
• Implement robust handling for Change Data Capture, late-arriving data, retries, backfills, replay, schema evolution, and data reconciliation.
• Build and maintain integration between the lakehouse and Snowflake, including Iceberg-backed/external tables, secure sharing, and downstream data contracts.
• Develop automated data-quality checks, pipeline monitoring, lineage, freshness alerts, and operational dashboards.
• Troubleshoot and resolve production data issues, pipeline failures, performance bottlenecks, and data-quality problems.
• Optimize SQL queries, storage layouts, partitioning, clustering, compute utilization, and overall platform cost.
• Implement security controls including role-based access, row/column-level security, masking, and protection of sensitive data.
• Build and maintain Continuous Integration and Continuous Deployment pipelines, automated testing, infrastructure-as-code, and environment promotion processes.
• Participate in production support, incident resolution, Root Cause Analysis, deployment, and on-call activities.
• Work closely with Product, Application Engineering, Quality Assurance, DevOps/Site Reliability Engineering, Analytics, and globally distributed engineering teams.
• Contribute to technical design decisions and documentation while remaining primarily hands-on in implementation and production delivery.

Required Skills

• 6+ years of hands-on experience in data engineering, data warehousing, or data platform development.
• Strong production experience building and supporting end-to-end data pipelines.
• Expert SQL, including complex queries, query-plan analysis, and performance tuning.
• Strong development skills in Python, Java, or Scala.
• Hands-on experience with Apache Iceberg, Delta Lake, or Apache Hudi.
• Experience with distributed query technologies such as Trino, Presto, or Spark SQL.
• Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management.
• Experience with streaming and Change Data Capture technologies such as Apache Flink, Kafka, Spark Structured Streaming, or Debezium.
• Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts.
• Experience with Kubernetes, containers, Continuous Integration and Continuous Deployment, and infrastructure-as-code.
• Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms.
• Ability to independently troubleshoot complex production issues and drive them through resolution.

Preferred Qualifications

• Experience with multi-tenant Software as a Service data platforms and customer data isolation.
• Experience integrating open lakehouse platforms with Snowflake.
• Azure cloud experience.
• Experience with Airflow, Dagster, dbt, Power BI, Looker, or Superset.
• Experience with data governance, cataloging, masking, and access-control frameworks.
• Exposure to Internet of Things/device telemetry, physical security, commercial real estate, or property technology.
• Experience using Artificial Intelligence-assisted engineering tools to accelerate data development.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.