Senior Data Analytics Engineer
$140,000 - $160,000
Apply (opens in a new tab)Senior Data Analytics Engineer
Posted yesterday
SENIORITY
Lead
SALARY
$140,000 - $160,000
About the role
- Understand the data and the domain
- Partner with VIA's client delivery team and customers to translate domain knowledge into data infrastructure requirements, validate assumptions, and resolve data-related issues
- Explore customer data to build a clear picture of contents and characteristics (e.g. averages, expected ranges, trends, standard deviations) and make suggestions for data cleaning and analysis
- Build AI-powered data products
- Deliver data-based products to external customers, including interactive data analysis and investigation platforms, data quality reports, statistical analysis, and visualizations that turn complex findings into clear stories
- Build AI into VIA's data products, for example through automated insights, anomaly detection, AI-assisted data quality checks, and natural-language interfaces over operational data
- Evaluate the quality and reliability of AI/ML outputs against domain expectations, and design the human-in-the-loop checks that keep our data products trustworthy
- Oversee data pipelines
- Own the design, quality, and reliability of ETL/ELT pipelines, including work built with AI assistance
- Coordinate with internal stakeholders and customers when information is missing or discrepancies are found
- Run quality control on data and data products through both automated tests and targeted manual review, and document the assumptions and decisions made along the way so the work stays traceable
- Improve the platform
- Contribute to the continual improvement of internal tools for data cleaning, modeling and analytics, and data quality assessment by identifying key data-related challenges that are ideal candidates for automation and AI enhancement
- What you will bring to this role:5+ years of experience in a data-driven role or equivalent, including experience owning data initiatives and projects end to end
- Bachelor's or Master's degree in science, mathematics, engineering, or a data-driven field
- Proficiency in Python, R, or equivalent programming language
- Competence in at least three of the following technologies:
- Database technologies (e.g., SQL, PostgreSQL)
- Data science libraries (e.g., NumPy, pandas)
- Data pipelining workflows and tools (e.g., Dagster, Airflow, dbt)
- Cloud providers (e.g. AWS, Azure), including software development kits used to access data and services on these platforms
- 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 onPassionate 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)
- What does it take to be a successful VIAneer? Let's break it down, our VIAneers are:
- Self-motivated and passionate about leaving everything they touch better than how they found itFirm believers that people should love what they do and are eager to build a culture that enables them to do their best work
- Creative problem solvers who respectfully challenge the status quo in the pursuit of excellence
- People who lead discussions with curiosity and value diverse perspectives
- Eager to explore new ideas, understand the power of feedback, and constantly seek opportunities to grow and develop their skills
- Strong team players who thrive in collaborative environments and celebrate the success of others
- What can VIA do for you?
- VIA offers competitive benefits, flexible work options, and individualized mentoring and growth opportunities. Here are just a few of our VIAneers' favorite perks:
- This role offers a salary range of $140,000 - $160,000 USD per year 401K plan with up to 5% employer contribution
- Health: A fully funded, top-tier health benefits plan, including vision and dental coverage, fully covered from day one, for your whole family
- Family Support: Up to 24 weeks paid parental leave, a 4-week paid ramp-back program, and a $10K family forming benefit (covering fertility treatments, adoption, and surrogacy)
- Time off: Flexible Vacation Policy with no set annual limit or accrual period, Summer Fridays, and an extended holiday period in December
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
