Data Engineer

Binti; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Above-market compensation

Excellent medical, dental, vision, and

Flexible vacation (20 days)

16 weeks parental leave

National holidays included

Sabbatical after 4 years

401(k) with 100% match up to 4%

Remote work stipend

Learning & development stipend

Home office stipend

Lunch reimbursement

Jury Duty pay

Job summary

Binti seeks a Data Engineer to own the data layer powering agency reporting and to transform internal models into clean analytical tables. You will design conformed dimensions with stable grain, readable naming, and documented semantics while ensuring security and data-ownership rules are respected.

As the first dedicated function in this area, you will build reusable assets, establish monitoring for data freshness, and collaborate with product lifecycle teams to deliver robust BI solutions

Qualifications

• 5–10 years of software engineering experience with data emphasis.
• Strong SQL skills and seasoned in dimensional modeling.
• Ability to translate requirements into data models for compliance and reporting.
• Experience with modern BI tools and their modeling layers.
• Familiarity with governing data standards and federal reporting (gov-tech) is a plus.

Responsibilities

• Own the data layer powering agency reporting.
• Build transformations turning models into analytical tables.
• Design conformed dimensions, stable grain, and readable naming.
• Maintain data quality, security, and authorization scoping.
• Establish monitoring for data freshness and quality.
• Design reporting architecture aligned with product lifecycle.
• Support time series, cohorts, aging and time-in-status, PIT snapshots.
• Create reusable assets and self-service tools for teams.
• Build stock and customer-specific reports and support customer launches.
• Ingest new agency reporting requirements and map to data solutions.

Skills

Software engineering

Data modeling

SQL skills

Dimensional modeling

Grain & naming rules

Requirements translation

AI tooling adoption

Tools

Looker

Power BI

Sigma

Job description

• We are looking for a Data Engineer to own the data layer that powers agency reporting
• Our BI layer provides datasets in customer-friendly schemas for querying through Binti’s data platform tool. The Data Engineer owns the transformation of the data to best meet customers’ enterprise reporting needs
• Build the transformations that turn internal models into clean analytical tables
• Make deliberate modeling choices: conformed dimensions, sensible grain, stable and human-readable naming, documented semantics, consistent handling of dates, statuses, and soft deletes
• Build for correctness under our security model, preserving authorization scoping and permissions logic
• Establish monitoring and alerting for data freshness and quality
• Design reporting architecture in tandem with the core product lifecycle, ensuring the data model makes sense
• Support patterns including time series, cohorts, aging and time-in-status, compliance windows, and point-in-time snapshots
• Build the reusable pieces that can be composed to meet future needs
• Make sure the BI data model can express the module’s complex requirements
• Build stock and customer-specific reports, and enable the customer launch team to support customers
• Intake new agency reporting requirements and align them with solutions in line with our data strategy
• SAMPLE PROJECTS:
• Scoped embedded analytics. Validate that attribution in the data is reliable, build the scoped report, and pressure-test it so one organization can never see another’s data
• Upsertable importers. Build idempotent, upsert-capable importers so we can ingest customer data on a recurring basis rather than as one-time loads
• Data mapping tooling. Improve the tools, documentation, and repeatable process for mapping a customer’s legacy data model into ours. This is high leverage across every implementation we do
• Statewide reporting foundation. Build the analytics substrate that large statewide deployments require, including federal reporting obligations and agency-wide dashboards

Benefits

• An above-market compensation package (salary + equity)
• Excellent medical, dental, vision, and life insurance - 99% of insurance premiums covered for you + your dependents
• Flexible vacation time to promote a healthy work-life blend, targeting 20 days/year
• 16 weeks of paid parental bonding leave for the arrival of a newborn or newly placed infant
• 13 paid holidays; 11 Federally observed holidays (including Juneteenth), plus the day after Thanksgiving and Election Day
• Sick/Mental Health time separate from vacation days (72 hours)
• 4 weeks of sabbatical after 4 years of service at the company
• 401(k) with 100% match of contributions up to 4% of your annual salary
• Commuter benefits, FSA, and DCSA with administration paid for
• $5,000 annual bonus for employees who volunteer as a CASA (court-appointed special advocates)
• $2,500 annual reimbursement for ongoing learning and development, with opportunities to attend trainings/conferences, on-site speaker series, and lunch and learns
• $1,000 reimbursement for virtual home office setup
• $100/month remote work stipend to cover internet, electricity, or home office setup costs, or $250/month for a co-working space
• Weekly reimbursement for lunch with coworkers - virtually or at our Oakland office
• Paid Jury Duty
• Remote work friendly

5 to 10 years of software engineering experience, with a primary specialty in data and secondary specialty in backend web softwareSkilled in requirements translation. You can sit with a government program person describing a compliance report, understand what they actually need, and come back with a data model that supports itComfortable with ambiguity and crossing into adjacent areas of the stack. As the first dedicated person in this function, you will define the practice and how it interfaces with related teamsYou document and build reusable assets and self-service tools that empower othersStrong SQL skills, can reason about a large online application schema. You are seasoned in dimensional modeling. You have opinions about grain and naming and can defend themPassionate to use technology to improve outcomes for children and families in the child welfare systemExperience with a modern BI tool and its modeling layer (eg. Looker, Sigma, Power BI)Experience building and maintaining transformation pipelines with tests, documentation, and lineage. Not one-off scriptsEager, curious, and proactive in using modern AI tooling to accelerate engineering delivery end to endNice to have: government or gov-tech data experience; familiarity with child welfare data standards and federal reporting (AFCARS, NYTD, CCWIS)