Software Engineer - Data Architecture & Platform Engineering

dowjones; New York (NY); Ibrido; USD 95.000 - 125.000; Tempo pieno

Vantaggi offerti da questo lavoro

Comprehensive Healthcare Plans

Paid Time Off

Retirement Plans

Comprehensive Insurance Plans

Lifestyle Programs & WellnessResources

Education Benefits

Family Care Benefits & Caregiving

Commuter Transit Program

Subscription Discounts

Employee Referral Program

Financial Health Programs

Cybersecurity Protection

Descrizione del lavoro

Dow Jones’ Data Architecture & Platform Engineering team is expanding its data platform built on Snowflake, dbt, Airflow, and Python to empower energy-focused products. You will own end-to-end small-to-medium features, collaborating with analytics, product, and other engineering teams to ship scalable data solutions used by readers and internal teams.

The role reports to the Director - Data Architecture & Platform Engineering and offers a hybrid work model within the United States, with

Competenze

• 1–2 years of experience in data engineering, software engineering, or database development
• Keen interest in AI landscape and its impact on data engineering
• Strong SQL skills, ideally in a cloud data warehouse (Snowflake preferred; BigQuery/Redshift acceptable)
• Proficiency with Python for data processing, automation or scripting
• Experience with modern data tooling such as Airflow or dbt, or similar orchestration/transform frameworks
• Familiarity with Git and a mainstream CI/CD workflow
• Degree in Computer Science or related discipline or equivalent work experience

Mansioni

• 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 support downstream use
• Contribute to CI/CD, testing frameworks, observability and data-quality checks
• Monitor pipeline health, investigate issues, propose fixes and escalate when needed
• Participate in code reviews, technical design, on-call rotation and production support
• Translate analyst/product requirements into working data solutions

Conoscenze

SQL

Python

Airflow

dbt

Snowflake

Git

CI/CD

Data Modeling

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Snowflake

Airflow

dbt

Git

CI/CD tooling

Descrizione del lavoro

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.

About the Data Architecture & Platform Engineering

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 elevate 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

#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 [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.

Business Area

Dow Jones - Technology

Job Category

Software Product Engineering

Union Status

Union role

Base Pay Range

$95,000 - $125,000