Remote Data Analytics Engineer — AI-Driven Insights

MassMutual Ventures; Washington (District of Columbia); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Salary range

401K and employer contributions

Health benefits

Parental leave

Flexible vacation

Remote-friendly with multiple offices

Mentorship and learning programs

Job summary

VIA is seeking a Data Analytics Engineer to turn raw, complex data into clear narratives that guide customer decisions. You will work on high-velocity Agile teams, partnering with software engineers, data peers, and client delivery professionals to lead data initiatives end to end in a security-conscious, scalable environment.

You will translate domain knowledge into data infrastructure requirements, explore customer data, and deliver AI-enhanced data products with robust data quality checks.

Qualifications

• 3+ years of experience in a data-driven role or equivalent in data-related research projects.
• Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field
• Competence in Python, R, or equivalent programming language
• Competence in at least two of the following technologies: Database technologies (SQL, PostgreSQL); Data science libraries (NumPy, pandas); Data pipelining workflows and tools (Dagster, Airflow, dbt); Cloud providers (AWS, Azure)
• Ability to translate complex data findings into clear, compelling narratives
• Strong communication capability to decompose complex operational workflows into clear, repeatable steps that both teammates and AI tools can act on
• Passionate about data integrity, with a proven track record of transforming raw inputs into high quality, trusted datasets
• A self-starter attitude and demonstrated ability to learn new technologies quickly
• Experience in the following is a plus: Generative AI tools (e.g. AWS Bedrock, LangChain); Testing frameworks (e.g. pytest)

Responsibilities

• Translate domain knowledge into data infrastructure requirements and resolve data-related issues
• Explore customer data to build a clear picture of contents and characteristics and suggest data cleaning and analysis
• Deliver data-based products to external customers, including interactive data analysis and visualizations
• Build AI into VIA's data products with automated insights and anomaly detection
• Evaluate AI/ML outputs against domain expectations and design human-in-the-loop checks
• Own the design, quality, and reliability of ETL/ELT pipelines, including AI-assisted work
• Coordinate with internal stakeholders when information is missing or discrepancies are found
• Run quality control on data and products via automated tests and targeted manual review

Skills

Python

R

Data storytelling

Data integrity

Communication

Education

Bachelor's or Master's degree in data-related field

Tools

Dagster

Airflow

dbt

PostgreSQL

NumPy/Pandas

Job description

VIA is seeking a Data Analytics Engineer to turn raw, complex data into clear narratives that guide customer decisions. You will work on high-velocity Agile teams, partnering with software engineers, data peers, and client delivery professionals to lead data initiatives end to end in a security-conscious, scalable environment.

You will translate domain knowledge into data infrastructure requirements, explore customer data, and deliver AI-enhanced data products with robust data quality checks.