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Analytics Engineer Remote Dbt Jobs (NOW HIRING)

Vanta

Senior Analytics Engineer

$157K - $185K/yr

Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake ... Remote workspace, internet, and cellphone stipend * Commuter benefits for team members who report ...

Locatee Ag

Staff Analytics Engineer

Direct experience with Omni, with Redshift, or with dbt in production. * Familiarity with deploying ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

Ursa Health

Analytics Engineer

$160K - $180K/yr

We've been fully remote since our founding and have a strong remote-only culture. Hours are ... AVP, Analytics Engineering The Analytics Engineer role is ideal for an experienced analytics ...

PermitFlow

Analytics Engineer

New York, NY · Remote

$125K - $215K/yr

Strong proficiency in PostgreSQL, SQL, dbt, or similar data warehousing technologies. * Experience ... Advanced programming skills in Python or other languages for data transformation and analysis.

Fieldguide

Senior Analytics Engineer

San Francisco, CA · Remote

$175K - $200K/yr

We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic ... Migrate production report logic into governed, tested, and portable dbt models, strengthening test ...

HubSpot

Staff Analytics Engineer

... the Analytics Engineers who create that landscape. In this role, you'll join the Data & AI ... Expand our suite of dbt patterns and macros to enable flexible and easily extensible data ...

Pano

Analytics Engineer-Operations

$110K - $140K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... You will own the dbt models, SQL-powered Metabase dashboards, and tools that both individual ...

Gain America

Data Engineer - Remote (US)

Hicksville, NY · On-site +1

$124K/yr

... dbt * Orchestrate workflows with Airflow and monitor data quality * Partner with analytics and ML ... data engineering with strong Python and SQL * Hands-on Spark, Snowflake, and dbt experience

AHU Technologies, Inc.

Analytics Engineer

$80 - $100/hr

Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive experience in Analytics or Data engineering roles , with a strong record of leading ...

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Analytics Engineer Remote Dbt information

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How much do analytics engineer remote dbt jobs pay per year?

As of Sep 6, 2026, the average yearly pay for analytics engineer remote dbt in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

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Cities with the most Analytics Engineer Remote Dbt job openings:

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Analytics Engineer Remote Dbt jobs near you
Infographic showing various Analytics Engineer Remote Dbt job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $96,970 per year, or $46.6 per hour.

Analytics Engineer, Finance & Modeling

In Tandem

Chicago, IL • On-site, Remote

$100K - $130K/yr

Full-time

Retirement, PTO

Posted 4 days ago

Job description

Analytics Engineer, Finance & Modeling
Department: Data Engineering
Employment Type: Permanent - Full Time
Location: Chicago - Remote
Compensation: $100,000 - $130,000 / year
Description
At In Tandem, we build technology that helps families manage everyday routines and navigate life's biggest transitions. Through our four brands-OurFamilyWizard, Cozi, FamilyWall, and Custody Navigator-we help families stay organized, communicate well, and foster healthy childhoods.
We believe technology should strengthen relationships and make daily coordination less complicated. Everything we create is designed to lighten the mental load, reduce conflict, and support families through big and small moments.
If you want your work to make a real difference in the daily lives of parents and kids, In Tandem is the place where your impact will truly matter.
As an Analytics Engineer (Finance & Modeling), you'll own the metrics, reporting and reconciliation our financial decisions rest on, turning subscription and transaction data across OurFamilyWizard, Cozi, FamilyWall and Custody Navigator into numbers the business can defend. As that foundation becomes automatic, the work shifts toward forecasting and modeling.
You won't start from scratch. Our dbt project is live on Databricks with a star-schema finance mart in production and documented in Unity Catalog. What's missing is the layer on top, and that layer is yours. We also run an internal AI agent that answers business questions in Slack off the semantic layer, so every metric you define and test becomes a question Finance can ask directly rather than queue.
What you'll accomplish:
  • Governed metrics. Add the definitions the finance mart doesn't have yet (ARR, renewal rate, churn, CAC), versioned in dbt and documented in Unity Catalog, with the tests that make each one defensible, and wired into the agent so Finance can ask them directly.
  • Reporting Finance can run without you. Move the recurring finance pack into marimo, retire the Tableau views behind it, and turn a monthly hand-build into something that runs on a schedule.
  • Numbers that reconcile. Reconcile transactions across the app stores, payment processors, subscription systems and the ledger, with automated checks that alert rather than surface at close. Route discrepancies upstream with the evidence attached and turn each one into a test. You build the checks and escalate. Accounting owns the treatment.
  • Forecasting for Finance. Cohort subscriber and revenue projection, and aggregate renewal and retention forecasting, feeding the CFO's forecast and board reporting. LTV by acquisition source, feeding paid spend allocation with Growth. Pricing and promo impact, modeled before we ship rather than measured after. Individual churn propensity and uplift follow once there's a retention motion ready to act on the scores.
  • Models ship as scored tables in dbt and Unity Catalog, with tests, lineage and a definition the agent can answer from. Not as notebooks.

Who you are:
  • Statistically rigorous. You know why a cohort curve is the wrong shape, what a model is leaking, and when a result is noise.
  • Fluent in finance, and unwilling to let a number you can't explain go out the door. When two systems disagree, you find out why and tell the people upstream.
  • An engineer who owns the number end to end, from a CFO's question through the model, the test, the report and the conversation that follows. A spreadsheet nobody can reproduce reads to you as a liability.
  • AI-proficient in practice, not in theory. Claude Code, coding agents and agent SDKs are part of our daily loop, and we expect you to already work this way. A lot of what used to be a week of modeling work is now an afternoon, and we're hiring for people who have internalized that.
  • Willing to wear several hats. This is a small team supporting four brands. Some weeks you're deep in a retention model, some weeks you're chasing an app store discrepancy or unblocking someone else's dashboard. The scope above is the center of the role, not a fence around it.
  • Motivated by work that matters. Families rely on these products during real moments in their lives.

What you bring:
  • 3+ years in analytics engineering, data science, BI engineering or advanced analytics.
  • Statistical modeling shipped into a business process: forecasting, survival or cohort analysis, or propensity.
  • Measuring the lift from a price change or a growth experiment. You don't need to have designed the test, but you need to be able to read the result honestly and say what it's worth.
  • Subscription metrics you've built and defended to a finance stakeholder: ARR/MRR, renewal, churn, LTV/CAC, or cohort revenue.
  • Strong SQL and real dimensional modeling. You've designed marts, not just queried them.
  • Python and Git as daily habits.

Nice to have, not a dealbreaker:
  • dbt, Databricks and Unity Catalog, or a comparable lakehouse.
  • Reconciling transactional data to a financial system of record.
  • Code-first notebook reporting (marimo, Hex, Streamlit, Quarto).

Why Join?
We're redefining family technology.
In Tandem brings together a growing portfolio of trusted tools that support families, and the professionals who guide them, through the moments that matter most. We bring clarity to chaos and stability to daily family life, helping parents feel less stressed so kids can have healthier childhoods.
Scale meets startup energy.
With more than 20 years of impact and a strong market presence, we're entering a bold new chapter of growth. We have the foundation, the momentum, and the ambition to go further: expanding our reach, deepening our impact, and elevating the tools families and professionals rely on every day.
Purpose-driven. Performance-focused. People-first.
Our culture is rooted in accountability, curiosity, and collaboration. We value diverse perspectives, thoughtful problem-solving, and teammates who care deeply about building something that matters.
How we support you:
  • Medical: In Tandem pays 100% of the premium for employees AND 99% for all additional family members
  • 401k: Up to a 4% match with immediate vesting
  • Paid leave for all new parents
  • Learning & Development stipend for employees
  • Paid Time Off: 11 Holidays + Winter Break (3 Days) + Volunteer Time Off (1 Day) + Floating Holiday (1 Day)
  • Personal Time Off: 15 days for 0-1 years of employment, 20 days 1-3 years of employment
  • Supportive and flexible working environment - work from anywhere!

Come As You Are!
In Tandem provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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