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Remote Mobile Analytics Engineer Jobs (NOW HIRING)

Inficare Technologies

Data Analytics Engineer

$117K - $140K/yr

Role - Senior Data Analytics Engineer Location - Remote Duration - Long Term contract Required • 6 to 10 years in data engineering, analytics engineering, or a closely related role. • Databricks ...

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Civitech

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... The Analytics Engineer will turn raw voter, district shape, and product data into clean, well ...

Kin Insurance, Inc.

Staff Analytics Engineer

$159K - $187K/yr

Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve ... Within the Data Engineering organization, Analytics Engineering turns raw, domain-owned data into a ...

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Civitech

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... The Analytics Engineer will turn raw voter, district shape, and product data into clean, well ...

Bamboo Health

Senior Analytics Engineer

As Senior Analytics Engineer, you will work alongside the Analytics and Visualization team and ... Ability to work effectively in a remote-first environment, ensuring high-quality virtual ...

Life360

Senior Finance Analytics Engineer, AI Native

$103K - $192K/yr

Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to ... Life360 is a Remote-First company, which means a remote work environment will be the primary ...

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All JobsRemote Mobile Analytics Engineer Jobs

Remote Mobile Analytics Engineer information

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How much do remote mobile analytics engineer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for remote mobile analytics engineer in the United States is $60.14, according to ZipRecruiter salary data. Most workers in this role earn between $45.67 and $78.37 per hour, depending on experience, location, and employer.
What cities are hiring for Remote Mobile Analytics Engineer jobs? Cities with the most Remote Mobile Analytics Engineer job openings:
What are the most commonly searched types of Remote Analytics Engineer jobs? The most popular types of Remote Analytics Engineer jobs are:
What states have the most Remote Mobile Analytics Engineer jobs? States with the most job openings for Remote Mobile Analytics Engineer jobs include:
Remote Mobile Analytics Engineer jobs near you
Infographic showing various Remote Mobile Analytics Engineer job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $125,095 per year, or $60.1 per hour.
Data Analytics Engineer

Data Analytics Engineer

Inficare Technologies

Remote

$117K - $140K/yr

Full-time

Posted 23 days ago

Job description

Role - Senior Data Analytics Engineer
Location - Remote
Duration - Long Term contract
Required
• 6 to 10 years in data engineering, analytics engineering, or a closely related role.
• Databricks experience, including hands-on work with Unity Catalog, Delta Lake, and SQL or notebook-based development.
• Python and SQL at an engineering level. You write production-quality transformation code, not just ad hoc queries.
• Solid understanding of medallion architecture (bronze to silver to gold) and when to use each layer.
• Experience building and supporting semantic layers, data catalogs, or self-service data products in production.
• Track record building shared, cross-domain datasets that are used by multiple teams, not just a single reporting use case.
• Strong stakeholder management. You can align definitions across product, actuarial, and engineering partners and make practical tradeoffs when requirements conflict.
• Comfortable with modern engineering workflow: Git-based version control, code review, and basic testing or validation before release.
• Strong written communication. You will write requirements documents and technical specs, but you are also expected to build and ship the work.
Nice to Have
• Experience with Databricks Genie or AI-BI features.
• Familiarity with MCP (Model Context Protocol), LLM tool calling, or AI agent patterns.
• Background in financial services, insurance, or reinsurance data.

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