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Senior Data Engineer || Atlanta, Georgia- Must be Local

Stellent IT LLC

Atlanta, Georgia • Today

Easy Apply

Contract, Third Party

Senior Data Engineer

Aziro Technologies LLC

Hybrid in Atlanta, Georgia • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Sr. Data Engineer

HNTB Corp

Atlanta, Georgia • Today

Full-time

Senior Data Engineer

Waystar

Duluth, Georgia • Today

Full-time

Senior Data Engineer – Cloud & Lakehouse - Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL, Columbia, SC.

TechniPros, LLC

Remote or Atlanta, Georgia • Today

Easy Apply

Contract

Depends on Experience

Data Engineer Sr. Consultant

Deloitte

Atlanta, Georgia • 5d ago

Full-time

USD 127,000.00 - 150,000.00 per year

Senior Data Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 167,400.00 - 218,550.00 per year

Senior Data Engineer

CVS Health

Remote or Illinois • Today

Full-time

USD 83,430.00 per year

Senior Data Engineer

Voyager Technologies, Inc.

Remote • Today

Full-time

USD 163,000.00 - 205,000.00 per year

Senior Data Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Sr. Data Engineer

Robots and Pencils

Remote • Today

Full-time

USD 119,514.00 per year

Sr. Data Engineer

NinjaTrader

Remote or Chicago, Illinois • Today

Full-time

USD 110,000.00 - 160,000.00 per year

Sr Data Engineer

ACI Infotech

Atlanta, Georgia • Today

Easy Apply

Full-time

$DOE

Job Details

Skills

Data Science
Data Modeling
Streaming
Unstructured Data
Python
Data Governance
Testing
Data Quality
Scalability
Data Architecture
Collaboration
Data Engineering
Workflow
Performance Tuning
Unity
Apache Spark
PySpark
Apache Kafka
Amazon Web Services
Amazon S3
SQL
Optimization
Extract
Transform
Load
ELT
Databricks
Agile
Scrum
Kanban
SAFE
Snow Flake Schema
Analytical Skill
NoSQL
Database
Apache Cassandra
Messaging
TIBCO EMS
IBM WebSphere MQ
Cloud Computing
Business Intelligence
Reporting
Analytics
Machine Learning (ML)
Computer Science
Information Systems

Data Science
Data Modeling
Streaming
Unstructured Data
Python
Data Governance
Testing
Data Quality
Scalability
Data Architecture
Collaboration
Data Engineering
Workflow
Performance Tuning
Unity
Apache Spark
PySpark
Apache Kafka
Amazon Web Services
Amazon S3
SQL
Optimization
Extract
Transform
Load
ELT
Databricks
Agile
Scrum
Kanban
SAFE
Snow Flake Schema
Analytical Skill
NoSQL
Database
Apache Cassandra
Messaging
TIBCO EMS
IBM WebSphere MQ
Cloud Computing
Business Intelligence
Reporting
Analytics
Machine Learning (ML)
Computer Science
Information Systems

Summary

Summary

Client Corporation is seeking a Senior Data Engineer to design, build, and operate scalable data solutions within a Databricks-based Lakehouse and streaming analytics environment. This role partners with business, BI, data science, and data modeling teams to translate requirements into production-ready data pipelines and curated datasets for reporting, analytics, and machine learning.

Responsibilities

Partner with business, BI, data science, and data modeling teams to define requirements and deliver scalable data solutions.
Design, develop, and operate production-grade data ingestion, transformation, and integration pipelines.
Build and maintain Databricks, Spark, Delta Lake, and Delta Live Tables (DLT) pipelines supporting batch and streaming workloads.
Integrate and transform structured and unstructured data using Databricks, SQL, Python, Spark, AWS, and Kafka.
Implement incremental processing, merges/upserts, schema evolution, data quality checks, and other Lakehouse best practices.
Apply data governance, security, access, retention, and sensitive-data handling practices in accordance with enterprise standards.
Establish testing, data quality, observability, and operational readiness practices.
Troubleshoot and optimize pipelines for performance, reliability, scalability, cost, and maintainability.
Contribute to data architecture and engineering standards and support initiatives from requirements through deployment and ongoing operations.
Participate in Agile delivery, including backlog refinement, iterative development, and dependency coordination.

Required Experience

5+ years of professional data engineering experience working with large datasets in production.
Hands-on Databricks experience, including Jobs/Workflows, notebooks, and production pipelines.
Hands-on Delta Lake experience, including incremental processing, merges/upserts, schema evolution, and performance optimization.
Hands-on experience designing and operating Delta Live Tables (DLT) pipelines.
Practical Unity Catalog or comparable Databricks governance experience.
4+ years of Apache Spark engineering experience using Spark SQL and/or PySpark.
3+ years of Apache Kafka or managed Kafka experience, including high-volume event processing, scaling, lag, and replay.
3+ years of AWS experience supporting data and analytics platforms, including S3, IAM, Glue, Lambda, or MSK.
Strong SQL skills, including intermediate-to-advanced query development and optimization.
Experience building and operating ETL/ELT pipelines in a Databricks Lakehouse environment.
Experience working in an Agile environment such as Scrum, Kanban, or SAFe.

Preferred Experience

Snowflake or other large-scale analytical databases.
NoSQL databases such as Cassandra.
Enterprise messaging technologies such as TIBCO EMS or IBM MQ.
Integrating operational system feeds into cloud-based analytics and Lakehouse environments.
Supporting BI, reporting, analytics, or machine learning initiatives.

Education

Bachelor's degree in Information Systems, Computer Science, Computer Information Systems, or a related field preferred.
Equivalent practical experience may be considered.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91022079
Position Id: 2026-51931
Posted 4 hours ago

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Atlanta, Georgia

•

9d ago

Role: Lead Databricks Engineer Location: Atlanta, GA Duration: Long - Term Contract Experience: 10+ Years Onsite interview Mandatory Job Description: We are seeking a Senior/Lead Databricks Engineer with 10+ years of experience in data engineering and strong hands-on expertise in Databricks, PySpark, Spark, Python, and SQL. Required Skills 10+ years of overall Data Engineering experience Strong hands-on Databricks & Apache Spark/PySpark Advanced Python & SQL Databricks Lakehouse, Delta Lake & Me

Easy Apply

Contract

55 - 75

Data Engineer

Remote

•

18d ago

Role Summary As a Data Engineer you ll design and build the data infrastructure that powers analytics, AI, and client-facing platforms across our portfolio of engagements. You ll sit at the center of our Data, Analytics & AI practice working alongside data scientists, analytics engineers, and solution architects to turn raw, complex data into reliable, production-grade pipelines. This isn t a support role. The pipelines you build directly shape what our clients can see, measure, and act on. The

Easy Apply

Contract

Depends on Experience

Required Sr Databricks Engineer - REMOTE

Remote

•

3d ago

Title: Databricks Data Engineer - REMOTE Job Title: Data Engineer Experience: 12+ years Position Summary Seeking an experienced Databricks Engineer to support the modernization of our enterprise data platform as part of our cloud transformation journey. The ideal candidate will design, develop, and optimize scalable data solutions on the Databricks Lakehouse Platform while enabling advanced analytics, AI/ML initiatives, and enterprise-wide data products. This role will work closely with Data A

Easy Apply

Contract

Senior Data Engineer with Databricks Exp. - 100% Remote

Remote or Arkansas

•

Today

Job Title: Senior Databricks Engineer Location: 100% Remote Interview Process: Video (2 Rounds) Job Description: Job Description Lead/Senior Databricks Data Engineer Position: Lead Databricks Data Engineer / Databricks Architect Experience: 10+ Years Location: Remote Job Summary We are looking for an experienced Lead Databricks Data Engineer / Databricks Architect with 10+ years of overall experience in Data Engineering and strong hands-on expertise in Databricks, Apache Spark, PySpark, SQ

Contract