Software Engineer - Data Architecture & Platform Engineering

Dow Jones & Company, Inc.; New York, Northern (NY, KY); Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

Comprehensive Healthcare Plans

Paid Time Off

Retirement Plans

Comprehensive Insurance Plans

Lifestyle Programs & WellnessResources

Education Benefits

Family Care Benefits & Caregiving | )

Job summary

Dow Jones Energy team is seeking a data engineer to support a Snowflake/dbt/Airflow powered data platform. You will own small-to-medium features end-to-end, from design through deployment and operational support.

You will build ELT pipelines, write SQL and Python, design scalable data models, and participate in CI/CD and data quality efforts while collaborating with analytics, product, and other engineering teams. You will report to the Director - Data Architecture & Platform Engineering.

Qualifications

• 1-2 years’ relevant experience in data engineering, software engineering, or database development
• Excitement about AI landscape and its impact on data engineering
• Strong SQL in cloud data warehouses (Snowflake preferred) or BigQuery/Redshift

Responsibilities

• 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 as needed
• Take part in code reviews, technical design, on-call rotation, and production support
• Translate requirements from analysts, product managers, and stakeholders into working data solutions

Skills

SQL

Python

Snowflake

dbt

Airflow

Git

CI/CD

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

dbt

Airflow

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 escalation 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

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 [e-mail]. 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.

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Business Area: Dow Jones - Technology

Job Category: Software Product Engineering

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.

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest newsgathering operations globally.

It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).