Job description

Job Description: About the Team: Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies. The Data Architecture & Platform Engineering team runs the data infrastructure behind Dow Jones products, analytics, and AI across B2B, B2C, and internal use cases. We own the Snowflake footprint which serves as the foundation of all DJ structured data, the surrounding platforms and patterns, and the governance framework. We build for scale, reliability, security, and cost efficiency. About the Role: In this role, you will have an important role in supporting our newly branded Dow Jones Energy products and work closely with our US-based Energy business and technical stakeholders. You will work on a modern data platform built on Snowflake, dbt, Airflow, and Python. You ll own small-to-medium features end-to-end, from technical design through implementation, testing, deployment, and operational support. You also will use AI coding assistants in your everyday work, and pitch in when the team experiments with LLM-assisted approaches to data engineering: query generation, data profiling, documentation, and pipeline debugging. You ll partner with analytics, product, and other engineering teams to ship data solutions people actually use. You will report to the Director - Data Architecture & Platform Engineering. You Will: Build and maintain ELT pipelines in dbt and Snowflake, orchestrated with Airflow Write tested SQL and Python for ingestion, transformation, validation, and delivery Design data models that integrate multiple sources and hold up under downstream use Contribute to CI/CD, testing frameworks, observability, and data-quality checks Monitor pipeline health - investigate issues, propose fixes, and escalate when stuck Take part in code review, technical design, on-call rotation, and production support Translate requirements from analysts, product managers, and stakeholders into working data solutions You Have: 1-2 years’ relevant experience in data engineering, software engineering, or database development Excitement about AI landscape and are curious how it s changing the shape of data engineering Strong SQL, ideally within a cloud warehouse (Snowflake preferred; BigQuery or Redshift acceptable) Working knowledge and experience with using Python for data processing, automation, or scripting Exposure to modern data tooling: Airflow, dbt, or comparable orchestration and transformation frameworks Familiarity with Git and a mainstream CI/CD workflow Degree in Computer Science or related discipline -OR- equivalent work experience Nice to have: Tableau or another mainstream BI tool PowerShell or similar scripting Data governance, lineage, privacy, or access-control experience Cloud platform experience (AWS, GCP, or Azure); Terraform or another infrastructure-as-code tool; APIs Postgres or another traditional RDBMS Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle Programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Financial Health Programs Cybersecurity Protection Learn more about us and our benefits click here . #LI-Hybrid Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets Reasonable Accommodation We are 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 or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations. Business Area: Dow Jones - Technology Job Category: Software Product Engineering Union Status: Union role Base Pay Range: $95,000 - $125,000 We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

Requirements

Must-haves

You Will: Build and maintain ELT pipelines in dbt and Snowflake, orchestrated with Airflow
Write tested SQL and Python for ingestion, transformation, validation, and delivery
Design data models that integrate multiple sources and hold up under downstream use
Contribute to CI/CD, testing frameworks, observability, and data-quality checks
Monitor pipeline health - investigate issues, propose fixes, and escalate when stuck
Take part in code review, technical design, on-call rotation, and production support
Translate requirements from analysts, product managers, and stakeholders into working data solutions
You Have: 1-2 years’ relevant experience in data engineering, software engineering, or database development
Excitement about AI landscape and are curious how it s changing the shape of data engineering
Working knowledge and experience with using Python for data processing, automation, or scripting
Exposure to modern data tooling: Airflow, dbt, or comparable orchestration and transformation frameworks
Familiarity with Git and a mainstream CI/CD workflow
Degree in Computer Science or related discipline -OR- equivalent work experience
PowerShell or similar scripting
Data governance, lineage, privacy, or access-control experience
Cloud platform experience (AWS, GCP, or Azure); Terraform or another infrastructure-as-code tool; APIs
Postgres or another traditional RDBMS
Our Benefits Comprehensive Healthcare Plans
Retirement Plans
Comprehensive Insurance Plans
Lifestyle Programs & Wellness Resources

Nice-to-haves

Strong SQL, ideally within a cloud warehouse (Snowflake preferred; BigQuery or Redshift acceptable)
Nice to have: Tableau or another mainstream BI tool
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonllmsqlci/cdawsgcpazurepostgres

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Paid Time Off

Wellness