Data Warehouse Software Engineer I

Babel Street; United States; On-site; USD 70,000 - 80,000; Full time

Benefits offered by this job

Health Benefits covering 85-100% of premiums

Traditional and Roth 401(k) retirement plans

Unlimited Flexible Leave

12 paid Federal Holidays

Tuition Reimbursement Program

Job summary

Babel Street is seeking a motivated Software Engineer I to join our data team. You will build, maintain, and support core data warehouse solutions on Google Cloud Platform (GCP), collaborating closely with data analysts to translate reporting requests into clean data models.

This entry-level position is suitable for self-starters with strong SQL skills. The role can be hybrid from one of our three U.S. offices or possibly fully remote for candidates outside that area.

Qualifications

• Strong command of SQL including joins and aggregations.
• Conceptual understanding of relational databases and ETL/ELT concepts.
• Hands-on experience building dashboards in Looker or similar BI tools.
• Familiarity with Python for scripting and Git for version control.
• Proactive learner who takes initiative to solve problems.
• Ability to analyze business problems and implement structured solutions.
• Deep care for data quality and accuracy.

Responsibilities

• Assist in building and maintaining data models in Google BigQuery.
• Partner with analysts to translate data requirements into structured tables.
• Build and optimize Looker dashboards and reports.
• Ensure data integrity with validation queries.
• Help monitor and maintain Apache Airflow DAGs.
• Learn and apply query optimization techniques.

Skills

Foundational SQL Skills

Data Warehouse Exposure

BI / Looker Experience

Basic Python & Git

The Mindset (Self-Starter)

Analytical Nature

Attention to Detail

Job description

Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched, analysis‑ready data regardless of language, proactive risk identification, 360‑degree insights, high‑speed automation, and seamless integration into existing systems. Babel Street empowers governments and commercial organizations to transform high‑stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit www.babelstreet.com.

Job Description

We are looking for a motivated Software Engineer I to join our data team! In this role, you will help build, maintain, and support our core data warehouse solutions on Google Cloud Platform (GCP). You will collaborate closely with data analysts and business stakeholders to translate reporting requests into clean data models and Looker dashboards. This is an entry‑level position perfect for a self‑starter who possesses strong foundational SQL skills, an eye for business analysis, and sharp attention to detail. This would be a hybrid role out of one of our 3 US offices – Somerville, MA, Reston, VA, Chagrin Falls, OH – or potentially fully remote for candidates outside those areas.

Responsibilities

• Data Pipelines & Modeling: Assist in building and maintaining data models and tables inside Google BigQuery. Help write and update foundational SQL transformation logic to support business analytics.
• Business Analysis & Collaboration: Partner with analysts and business stakeholders to understand their data and reporting needs, translating those requirements into clean, structured tables and views.
• Business Intelligence: Build, manage, and optimize Looker dashboards and reports, ensuring business users can easily access actionable data.
• Data Quality & Attention to Detail: Ensure data integrity and consistency across data marts by writing validation queries and row‑count checks to catch discrepancies early.
• Pipeline Monitoring: Help monitor and maintain basic Apache Airflow (Cloud Composer) DAGs written in Python, ensuring daily data loads run smoothly.
• Performance Basics: Learn and apply standard query optimization techniques, including BigQuery partitioning and clustering best practices.

Qualifications

• Foundational SQL Skills: Strong command of SQL (joins, aggregations, and familiarity with window functions).
• Data Warehouse Exposure: A solid conceptual understanding of relational databases, ETL/ELT concepts, and standard data warehousing structures (tables, views, and data lakes).
• BI / Looker Experience: Hands‑on experience or academic exposure to building dashboards in Looker (or similar BI tools like Tableau/Power BI).
• Basic Python & Git: Familiarity with Python for basic scripting/automation and comfort using Git for version control.
• The Mindset (Self‑Starter): A proactive learner who takes initiative to solve problems and figures out how things work.
• Analytical Nature: The ability to look at a business problem, analyze the underlying data requirements, and implement a structured solution.
• Attention to Detail: Deep care for data quality—you are someone who double‑checks your query results and takes pride in data accuracy.

Benefits

• Health Benefits: Babel Street covers 85‑100% of monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(k) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays.
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Range for this position based on qualifications and experience:

$70,000 – $80,000 USD

Babel Street is an equal‑opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‑worker, Pay Transparency Non‑Discrimination.

In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.