We break stories, influence ideas, and advance business intelligence and cultural interest. We expose the events that turn markets, the digital breakthroughs that transform art, the demand that drives invention, as well as the political and societal passing moments and lasting consequences. We are the people of Dow Jones. From different fields, backgrounds and viewpoints we invite you to join us.
Examine the world and bring it to others.
Job Description:
Location:
US Rockville, MD
Open to Full-time Remote (US MD, VA, DC Office; Canada Remote)
Sr Data Engineer, Machine Learning (Open to Remote)
Your Role
Our company are leaders delivering fuel pricing data, market intelligence and analytics to the global Energy industry. We believe in having the best technology capabilities to deliver our products to our customers.
OPIS, a part of Dow Jones, is expanding its Data Science and Machine Learning (MLOps) Engineering team. You will play a critical role in the design and development of a world-class Data Science and MLOps platform. We encourage creativity, autonomy, and flexibility to allow you to bring your ideas to life!
To fit this role, we are looking for a mid-level data engineer with a unique mix of technical capabilities, strong data analysis and collaboration skills.
Your Main Responsibilities
Design and develop complex code in SQL or Python to optimize data pipelines for ML analysis and modeling
Write PySpark code to transform our model algorithms to production-ready code
Work with the latest AWS cloud computing and data warehousing technologies such as Snowflake
Work with the latest AWS services to deploy and run our ML code via CI/CD pipelines and containers
Be part of a diverse, global Agile team, employing best practices for the DSML Lifecycle Framework
Be proud of both your own growth and your team’s success!
Who We Are
Our company are leaders delivering fuel pricing data, market intelligence and analytics to the global Energy industry. We believe in having the best technology capabilities to deliver our products to our customers.
Your team focuses on developing the data infrastructure and platform to support our large volume data analytics processing, AI, data science, and machine learning projects.
Your Expertise
You have:
7+ years of working experience in data management technologies (Microsoft SQL Server, Postgres, advanced SQL coding, relational database design, data warehousing)
5+ years with writing SQL ETL processes
3+ years coding in Python or PySpark
3+ years developing Big Data and ML technologies (Spark, AWS SageMaker) to optimize ML model processing (training, evaluation, and inference)
3+ years in cloud computing especially AWS
Experience working in a Linux and Windows environment
Bonus if you also have experience in:
Writing infrastructure as code for AWS (Terraform, Step Functions, CloudWatch)
Working with SnowFlake cloud data warehouse, parquet file formats, AWS S3 storage
Creating CI/CD deployment pipelines in Microsoft Azure DevOps
Working with containers (Docker, Kubernetes)
Deployments in MLOps software (AWS SageMaker, Databricks)
Working with BI software (Microsoft Power BI)
Educational background in computer science, engineering, or data analytics
What We’re Offering
Great salary
Career growth opportunities and training programs
Flexibility in work from home
A diverse and flexible work environment
Team building and social events
Generous vacation allotments
Dow Jones , Making Careers Newsworthy
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status. EEO/AA/M/F/Disabled/Vets .
Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, please reach out to us at TalentResourceTeam@dowjones.com. Please put “Reasonable Accommodation" in the subject line.
Business Area: OPIS
Job Category: IT Development Group
Req ID: 31201
