Rendering Engines

Rendering Engines Data Jobs

7 jobs found

1d ago

Senior Data Engineer

Hearst Media Services Troy, MI

Troy, MI

1d ago

Full time Backend Developer Senior 3d Design Tools

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Job Description

The Senior Data Engineer role at Hearst Media Services (MOTOR Information Systems) focuses on architecting, designing, building, and evolving an AWS-based data platform. The position requires technical ownership across scalability, reliability, performance, and cost while delivering data pipelines and data products.

Responsibilities

Analyze large and complex data sets to support pipeline and platform decisions.
Design, develop, and coordinate the generation of data pipelines.
Collaborate with the team to plan and solve complex technical problems.
Design for, or optimize existing pipelines, with emphasis on performance and cost efficiency.

Requirements

Expert Python and SQL development.
Strong AWS experience, including: AWS Lambda, AWS Glue, AWS State Machines, AWS Fargate, AWS CloudFormation, and Amazon RedShift.
Strong experience with semi-structured data such as XML, CSV, JSON, and Parquet.
Strong automation experience.
Experience with Databricks, including Delta Lake, notebooks, and SQL analytics.
Experience with Kubernetes, including cluster orchestration, container networking, and pod management.
Experience with DevOps and CI/CD, including deployment orchestration with Octopus Deploy.
Experience with agentic AI, including LangGraph, MCP servers, and agent frameworks.
Experience with data handling, including Pandas/NumPy, Apache Spark, and Ray.

Technologies

Python, SQL
AWS Lambda, AWS Glue, AWS Step Functions, AWS Fargate, AWS CloudFormation, Amazon RedShift
XML, CSV, JSON, Parquet
Databricks, Delta Lake, Databricks Notebooks, SQL Analytics
Kubernetes
Octopus Deploy
LangGraph, MCP Servers
Pandas, NumPy, Apache Spark, Ray
Agent frameworks

Location & Schedule

Location: Troy, MI (hybrid)
Hybrid schedule: 3 days onsite in Troy, MI

Education

Bachelor's Degree.

Benefits

No visa sponsorship available at this time.

Helpful Experience (Nice to Have)

Experience with LLMs, machine learning & deep learning libraries, AI application frameworks, and vector databases.
Experience with automotive data or the automotive industry.
Experience with Agile or Scrum.

About MOTOR Information Systems (Hearst)

MOTOR is the industry leader in automotive data and insights. The organization powers the aftermarket ecosystem with comprehensive datasets, and is investing in modernizing its data platform to support the next generation of products and AI-driven capabilities.

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1d ago

Analytics Engineer

Clair New York, NY

New York, NY

1d ago

$140k - $150k/yr Full time 3d Design Tools Apache Airflow Automation

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Job Description

Clair is looking for an Analytics Engineer to help shape how data moves, models, and is trusted inside the organization. In this hybrid role based in New York City, you will build and maintain data pipelines and dbt models that support reliable analytics and decision-making across teams.

What you’ll do

Support Clair’s ELT pipeline by applying best practices across modeling, testing, documentation, and observability
Develop and maintain dbt data models used for analytics and business decisions
Ingest and model data from new source systems and incorporate it into the data warehouse
Work with analysts, engineers, and business stakeholders to define metrics, data definitions, and governance standards
Contribute to data governance, access control, and monitoring across the data stack
Detect data quality issues and help drive root-cause resolution
Share ideas as Clair scales its data function
Occasionally assist the analytics team with ad-hoc or high-priority analysis

How the role connects

As an Analytics Engineer, you’ll work at the intersection of engineering and analytics. Your primary stakeholder is the analytics team, and you will partner with data analysts and data scientists to design, develop, and deliver well-modeled, cost-efficient data models for the analyses used to guide decisions at Clair.

Required experience and skills

3-4 years of professional experience in the data analytics field
Strong proficiency in SQL
1-2 years hands-on experience modeling data with dbt in a production environment
Familiarity with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Familiarity with cloud data loading tools including Fivetran, Airbyte, or Airflow
Understanding of data modeling concepts such as dimensional modeling and Kimball
Experience with a scripting language like Python or R
Comfort working in, or enthusiasm for, a high-growth start-up environment
Strong communication skills, including the ability to translate technical work into clear business value

Examples of work

Model product data into trusted analytic reporting tables
Support the data science team with feature pipelines
Contribute to new data management processes that maintain the integrity of production reporting
Help identify and optimize Snowflake computing cost bottlenecks
Contribute to and help maintain a code style guide across dbt projects

Tools and technologies

SQL, dbt
Snowflake, BigQuery, Redshift
Fivetran, Airbyte, Airflow
Python, R

Compensation and location

Location: New York, NY (hybrid); expected in the office at least three days a week (Tuesdays, Wednesdays, and Thursdays) with additional days occasionally for client meetings
Salary: USD 140,000 - 150,000 per year

Benefits

Medical, Dental, & Vision Coverage, with an option to extend to your family
Fully-paid parental leave
Company-sponsored 401k, HSA, and FSA
Unlimited vacation for salaried roles, generous PTO for hourly roles
Work from home setup allowance
Access to your earnings every day on Clair
Company-sponsored short-term and long-term disability insurance

Additional hiring notes

Clair will only contact candidates from @getclair.com email addresses
Clair will never ask for payments or sensitive personal information during the hiring process
Clair is an equal opportunity employer and values diversity
For questions: careers@getclair.com

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2d ago

Senior Data Engineer

LTM Tampa, FL

Tampa, FL

2d ago

$84k - $114k/yr Full time Senior 3d Design Tools Amazon Athena

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Job Description

Build and optimize scalable AWS data solutions using PySpark and modern data lake patterns.

Responsibilities

Design, develop, and deploy scalable, cost-effective data solutions on AWS using services including S3, EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis
Build and maintain robust ETL and ELT data pipelines with PySpark for data ingestion, transformation, and loading into data stores (including open table formats such as Iceberg)
Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue to handle large datasets efficiently with integration for Iceberg
Implement and manage data warehousing solutions with schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytics
Set up secure, robust cloud infrastructure components including VPCs, subnets, routing, and security groups to ensure connectivity and isolation
Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS)
Optimize performance and efficiency by tuning AWS resources and big data applications across Spark, Hive, and Iceberg
Apply data governance and security best practices in AWS, including access control and compliance via IAM policies, S3 bucket policies, and encryption
Set up monitoring, logging, and ingestion/processing visibility; troubleshoot and resolve issues for data pipelines and AWS infrastructure
Develop automation using Python and shell scripting for provisioning, deployment, and operational tasks
Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver reliable data solutions

Requirements

At least one AWS certification, such as:
- AWS Certified Solutions Architect - Associate
- AWS Certified Data Analytics - Specialty
- AWS Certified Developer - Associate
Hands-on experience with key AWS services for data processing and storage, including:
- Amazon S3 (data lakes) and EC2
- EMR, Glue, Athena, Lambda
- VPC, subnets, routing, security groups
- EKS
Strong PySpark proficiency for complex data transformations and analytics
Practical experience with Apache Iceberg for managing and querying data lakes
In-depth, practical experience with Apache Hive for data storage, querying, and schema management
Expert-level Python for data manipulation and AWS automation using Boto3
Proficient in shell scripting for automation and operational tasks
Strong SQL skills for querying and data manipulation
Solid understanding of ETL/ELT, data modeling, distributed computing, and data governance

Technologies

AWS, PySpark, Amazon S3, EC2, EMR, AWS Glue, AWS Athena, AWS Lambda, Amazon Redshift, Amazon Kinesis
Apache Iceberg, Apache Hive, VPC, subnets, routing, security groups
Amazon Elastic Kubernetes Service (EKS), Kubernetes
IAM policies, encryption
Python, shell scripting, SQL, Boto3, Apache Spark, SparkSQL
Data lakes, ETL/ELT, Iceberg, Spark Hive Iceberg
Apache Airflow, Git, Apache Kafka, Flink, Presto, AWS CodePipeline, GitHub Actions, GitLab CI

Benefits

Comprehensive Medical Plan covering Medical, Dental, Vision
Short Term and Long-Term Disability Coverage
401(k) Plan with Company match
Life Insurance
Vacation Time, Sick Leave, Paid Holidays
Paid Paternity and Maternity Leave

Good to Have Skills

Workflow orchestration experience with tools like Apache Airflow
CI/CD experience with tools and practices such as AWS CodePipeline, GitHub Actions, and GitLab CI
Version control experience with Git
Exposure to other big data technologies such as Apache Kafka, Flink, or Presto
Containerization and orchestration experience with Kubernetes

Certifications

AWS Certified Solutions Architect - Associate
AWS Certified Solutions Architect - Professional
AWS Certified Data Analytics - Specialty
AWS Certified Developer - Associate

Skills

Mandatory Skills: Apache Spark, Big Data Hadoop Ecosystem, Python, Python for DATA, SparkSQL

Location: Tampa, FL (onsite)

Salary: USD 83,912 - 113,900 per yearly

Mandatory: Karat Interview

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3d ago

Quantitative Data Engineer - Fixed Income and Mortgages

Selby Jennings New York, NY

New York, NY

3d ago

$350k - $450k/yr Full time 3d Design Tools Big Data Bigdata

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Job Description

This hands-on Quantitative Data Engineer role focuses on the end-to-end data workflow that supports loan-level and structured credit modeling. The position designs scalable pipelines and production-ready datasets used across quantitative investment and risk analytics.

Key Responsibilities

Design and maintain large-scale data pipelines for credit, mortgage, and structured product analytics.
Build and optimize loan-level feature engineering workflows and model input datasets.
Develop reproducible data processing frameworks for research, validation, and production deployment.
Partner with quantitative researchers to implement new features, validate methodologies, and improve model performance.
Collaborate with engineering teams to productionize research outputs while improving platform scalability and reliability.
Support ad hoc quantitative analysis and investigation of portfolio, collateral, and performance datasets.

Required Qualifications

Strong Python development experience, including production-quality code, testing, packaging, and code review practices.
Deep experience with distributed data processing using Spark and PySpark, including optimization of joins, partitioning, caching, skew management, and execution performance.
Advanced SQL skills, including experience querying large columnar data warehouses such as Snowflake, Redshift, BigQuery, Vertica, or similar platforms.
Experience building analytical datasets and feature engineering workflows for machine learning, statistical modeling, or quantitative research.
Strong understanding of reproducible data pipelines, experiment tracking, artifact management, and version-controlled development.
Experience in shared engineering environments using Git, automated testing, and CI/CD processes.
Ability to work directly with quantitative researchers and translate research requirements into scalable engineering solutions.

Technologies

Python
Spark, PySpark
SQL
Snowflake, Redshift, BigQuery, Vertica
Git
CI/CD

Preferred Qualifications

Experience working with loan-level, mortgage, consumer credit, or structured finance datasets.
Exposure to prepayment, default, transition, or loss modeling in credit or securitized products.
Familiarity with market and reference data providers, securitization cash flows, collateral reporting, or structured product analytics.
Experience with Databricks, Delta Lake, workflow orchestration tools, and modern cloud-based analytics platforms.
Exposure to model deployment, scoring frameworks, experiment tracking, or machine learning operations.
Experience with high-performance analytics tools such as Polars, DuckDB, Pandas, and scikit-learn.
Familiarity with workflow scheduling, data quality monitoring, and pipeline validation.
Comfort using AI-assisted development tools to accelerate coding, refactoring, testing, and codebase navigation.
Knowledge of cloud infrastructure, object storage, access controls, and cost-efficient data architecture.

Location

New York, NY (onsite)

Compensation

USD 350,000 - 450,000 per year

Education

Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Financial Engineering, Mathematics, or Economic.

Additional Notes

Candidates from adjacent industries are welcome, particularly those with strong distributed computing, data engineering, and machine learning experience.

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6d ago

Senior Data Engineer - AWS Data Platform (Redshift, Glue, and Airflow)

Versant Media Orlando, FL 🇺🇸 Remote

Orlando, FL

6d ago

Full time Backend Developer Senior 3d Design Tools

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Job Description

Versant Media is hiring a Senior Data Engineer to design and deliver data pipelines and warehousing capabilities for analytics use cases.

Responsibilities

Design and implement data warehouse and data mart architectures to support presentation layers for elastic cubes, reporting, and analytics
Perform hands-on ETL/ELT development and share responsibility for monitoring data warehouse and data mart workloads
Develop and support data pipelines using Airflow and AWS Glue, with additional pipeline work in Azure Data Factory, Python, and Golang
Build and maintain schemas and structures that support analytical requirements
Deliver hands-on database work including T-SQL or PL/SQL development, query tuning, table development, stored procedures, and functions
Create and manage indexes to improve performance for operational workloads
Troubleshoot and resolve production data issues
Coordinate with business users and project managers to identify business problems and implement solutions
Apply technical knowledge to propose improvements for existing systems and new requirements
Work with other IT departments on systems communication processes
Participate in meetings with multiple IT groups, including other business unit IT teams and technical operations (Server Group and infrastructure groups), to address issues and concerns
Mentor other Data Engineers
Identify software solutions needed for new projects
Provide weekly reporting to management on project status and issues
Support on-call production requirements

Requirements

7+ years of data warehousing / OLAP experience
7+ years of multidimensional database architecture and design experience
5+ years of SQL experience
3+ years of Python experience
2+ years of Redshift experience
2+ years of NoSQL experience
Experience with team and vendor partner management
Clear understanding of principles and techniques of web development
Experience with AWS Glue and Airflow
Experience with API
Dimensional database architecture experience
Formal systems life cycle methodology experience

Technologies

tsql, psql
Airflow, AWS Glue
Azure Data factory
Python, Golang
Azure, AWS, GCP
Redshift

Desired Qualifications

Cloud Data Warehouse operations experience
Tableau, SSRS, big data, and Realtime BI experience
Experience with data streaming

Location and Work Mode

Orlando, FL (remote)
Fully remote: expected to contribute from a non-Versant worksite, most commonly an employee’s residence

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7d ago

Data Engineer

Ookla Remote 🌍 Remote

Remote

7d ago

$85k - $125k/yr Full time 3d Design Tools Apache Airflow Aws Athena

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Job Description

Ookla is hiring an entry level Data Engineer (remote) to build data processing infrastructure that supports data science and analytics teams working with mobile and fixed internet performance data.

Responsibilities

Build high volume data processing jobs across platforms including Redshift, Athena, Iceberg, Spark, and Airflow
Debug queries and workflows, monitor job execution, and identify bottlenecks to improve system performance and efficiency
Collaborate with data scientists, analysts, and product managers to support data needs

Requirements

Bachelor’s degree in Computer Science or a related field (or equivalent experience)
1+ years of professional experience in data engineering
Working knowledge of SQL and databases including MySQL, Redshift, and Athena
Experience with data modeling
Familiarity with workflow orchestrators such as Dagster, Airflow, or Prefect
Experience working with Python
Strong communication skills in person and via virtual mediums
Background check required

Technologies

Redshift, Athena, Iceberg, Spark, Airflow
SQL, MySQL
Data modeling
Dagster, Prefect
Python

Nice to have

Exposure to ETL/ELT design patterns
Experience with AWS cloud services
Experience with high volume distributed data processing in Spark

Compensation

USD 85,000 - 125,000 per year.

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11d ago

Lead Data Engineer

Lutron Electronics Co., Inc Coopersburg, PA

Coopersburg, PA

11d ago

Full time Manager 3d Design Tools Amazon Eks

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Job Description

Lead the engineering efforts that power a modern, cloud-native data and AI platform for enterprise analytics.

Responsibilities

Shape and guide development of Lutron’s cloud-based data ecosystem.
Mentor data engineers, software engineers, and data scientists.
Set and drive data engineering best practices across governance, security, and scalability.
Improve data access and promote data literacy across the organization.
Process, clean, and validate the integrity of large-scale datasets.
Architect cloud-based solutions using AWS and Microsoft platforms.
Build business-ready data models to support analytics, KPIs, and decision-making across functional areas.
Develop and maintain ML and advanced analytics infrastructure to host, manage, and automate models.
Support AI/ML workflows by building scalable pipelines for model training, deployment, monitoring, and versioning.
Integrate AI-driven capabilities such as recommendation engines, natural language processing, and predictive analytics.
Optimize pipelines for large-scale feature engineering, experiment tracking, and real-time inference.
Partner with data scientists to productionize AI models and agents, with attention to performance, reliability, and compliance.
Ensure performance and data quality through SQL programming and optimization.
Explain technical concepts clearly to technical and non-technical stakeholders.
Provide automated analytics, dashboards, and data visualizations for business decisions.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or Software Engineering.
Minimum, cumulative GPA of 3.00 for all degrees earned.
8+ years of experience in a related field.
Proven expertise in modern data modeling, real-time and batch processing, and cloud-based architectures.

Technology

AWS: S3, Glue, EKS, Lambda, SageMaker, Redshift, Athena, Bedrock, Agentcore
Microsoft
Databases: SQL and NoSQL
Visualization: Power BI, Tableau, QuickSight
Programming & analytics: Python, Pandas, NumPy, PySpark

Equal Opportunity

Lutron Electronics Co., Inc is an Equal Opportunity - Affirmative Action Employer.

Qualified, motivated applicants are welcomed regardless of race, color, religion, sex, national origin, age, disability, or genetics.

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Rendering Engines Data Jobs

Senior Data Engineer

Analytics Engineer

Senior Data Engineer

Quantitative Data Engineer - Fixed Income and Mortgages

Senior Data Engineer - AWS Data Platform (Redshift, Glue, and Airflow)

Data Engineer

Lead Data Engineer

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