Full-Stack Data Engineer
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Auburn Hills, MI · On-site
$90K - $110K/yr
Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...
Auburn Hills, MI · On-site
$90K - $110K/yr
Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Auburn Hills, MI · On-site
$90K - $110K/yr
Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...
Auburn Hills, MI · On-site
$90K - $110K/yr
Expertise in data warehousing solutions like Snowflake or Redshift, Databricks • Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. • Data Modeling: Designing efficient ...
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Troy, MI · On-site
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift) * Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet) * Strong Automation Experience
Sterling, MI · On-site
$62.56/hr
... AWS/AWS Redshift, Oracle, SSAS, Dataiku, Alation - Working knowledge of Excel, MATLAB/Simulink, Mathcad, Midas, MagicDraw - Solid foundation in probability, statistics, applied mathematics ...
Sterling, MI · On-site
$62.56/hr
... AWS/AWS Redshift, Oracle, SSAS, Dataiku, Alation - Working knowledge of Excel, MATLAB/Simulink, Mathcad, Midas, MagicDraw - Solid foundation in probability, statistics, applied mathematics ...
Auburn Hills, MI · On-site
$108K - $130K/yr
... or Redshift, Databricks • Working knowledge of cloud providers (AWS) is essential • Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization ...
Auburn Hills, MI · On-site
$108K - $130K/yr
... or Redshift, Databricks • Working knowledge of cloud providers (AWS) is essential • Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization ...
Auburn Hills, MI · On-site
$108K - $130K/yr
... Redshift, Databricks • Working knowledge of cloud providers (AWS) • Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization tools • ...
Auburn Hills, MI · On-site
$108K - $130K/yr
... Redshift, Databricks • Working knowledge of cloud providers (AWS) • Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization tools • ...
Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse * On-Prem / MPP Databases: Teradata, Oracle, SQL Server, Vertica, Greenplum * OLAP / Analytics Concepts: Columnar storage, MPP architectures ...
Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse * On-Prem / MPP Databases: Teradata, Oracle, SQL Server, Vertica, Greenplum * OLAP / Analytics Concepts: Columnar storage, MPP architectures ...
Pontiac, MI · On-site
DW & lake concepts incl. dimensional modeling & cloud services (S3, AWS Redshift, RDS, Azure Data Lake Storage, Synapse Analytics, BigQuery, Databricks, Snowflake, Informatica); • Databases: SQL ...
Quick apply
Pontiac, MI · On-site
DW & lake concepts incl. dimensional modeling & cloud services (S3, AWS Redshift, RDS, Azure Data Lake Storage, Synapse Analytics, BigQuery, Databricks, Snowflake, Informatica); • Databases: SQL ...
To thrive in a Redshift-focused role (such as an Amazon Redshift Database Administrator or Redshift Data Engineer), you need strong expertise in cloud data warehousing, SQL, ETL development, and data modeling, often backed by a degree in computer science or a related field. Proficiency with Amazon Web Services (AWS), specifically Redshift, as well as tools like Python, ETL platforms, and related AWS certifications are highly valuable. Effective communication, analytical thinking, and problem-solving skills enable you to translate business needs into scalable data solutions and collaborate with diverse teams. These skills are essential for ensuring data integrity, optimizing performance, and supporting strategic business decisions in a cloud-based data environment.
A Redshift job typically refers to a task or process involving Amazon Redshift, a cloud-based data warehousing service. This can include roles such as database administrators, data engineers, or analysts who work with Redshift to store, process, and analyze large datasets. Common responsibilities involve writing SQL queries, optimizing performance, managing clusters, and integrating Redshift with data pipelines.
Working with Amazon Redshift often involves optimizing large-scale data pipelines, troubleshooting performance bottlenecks, and ensuring data security in a cloud environment. It can be challenging to balance query speed with cost efficiency, especially as data volumes grow rapidly. Familiarity with Redshift best practices—such as schema design, compression techniques, and query optimization—will help you address these issues effectively. Proactively staying updated on AWS feature releases and participating in team knowledge sharing can also make problem-solving more efficient and collaborative.
6.8
Based on 25 frontline employees who took The Breakroom Quiz
49th of 67 rated media
FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS
MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.
We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.
This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!
Required Experience (Must Have)
Expert Python Developer
Strong SQL Developer
Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)
Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)
Strong Automation Experience
Experience with Databricks (Delta Lake, Notebooks, SQL Analytics)
Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)
Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)
Experience with Git and Azure DevOps
Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)
Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)
Helpful Experience (Nice to Have)
Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases
Experience with Automotive Data / Industry
Experience with Agile / Scrum
Primary Responsibilities
EEO EMPLOYER
Sourced by ZipRecruiter
Motion picture and video production
10,000+ Employees
New York, NY, US
1887