1,652,266open jobs
99,089companies
251,846added this week
Browse all
Salary
$90k – $110k per year
Location
Remote (United States)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026.

Overview
Company
Impact
Profile match
FocusKPI offers custom marketing analytics solutions and specialized data science support to optimize ROI and improve productivity. Among our areas of expertise are: personalization AI/ML solutions, measurement (MMM & MTA), customer sentiment analysis, GenAI, text analysis, etc.

FocusKPI is looking for a Data Engineer to join our client's growing team and to help build and improve the data systems that power decision-making. You’ll develop reliable pipelines and platform capabilities while growing your ownership of production data systems and the business outcomes they support.

Data is central to how the client builds products, manages risk, understands our members, and makes decisions. In this role, you’ll work alongside experienced Data Engineers and partners across Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering. You’ll own well-defined data engineering projects from implementation through production support and help make our platform more reliable, scalable, and efficient. You’ll also have opportunities to apply AI-assisted development tools and support emerging AI initiatives as they evolve how they build and use data.

Work Location: 100% remote

Duration: 4-6 months/ 40 hrs per week

Pay Range: $45 - $55/hr

**No C2C resumes are considered**

Responsibilities:

  • Build, maintain, and improve reliable data pipelines that ingest, transform, and deliver data across the client's data platform.
  • Own data engineering projects and pipelines through implementation, testing, deployment, monitoring, troubleshooting, and ongoing support.
  • Work with Snowflake, dbt, Airflow/Cloud Composer, APIs, files, and cloud services to support production workloads and optimize them for reliability, performance, scalability, and cost.
  • Support warehouse development through thoughtful schema design, data modeling, testing, documentation, data quality practices, and query optimization.
  • Improve ingestion, orchestration, validation, retries, backfills, monitoring, and alerting while helping reduce recurring operational work.
  • Use AI-assisted engineering tools thoughtfully to accelerate development, debugging, documentation, and analysis while maintaining strong standards for accuracy, security, review, and engineering judgment.
  • Own end-to-end data lifecycle management - From ingestion and transformation to modeling, orchestration, and serving layers.
  • Ensure data quality, governance, and reliability - Implement testing frameworks, observability, monitoring, lineage, and data validation practices.
  • Drive platform optimization and cost efficiency - Continuously improve performance, scalability, and cloud cost management across the data ecosystem.
  • Establish engineering best practices - CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.
  • Partner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • 4-5 years of industry experience in software or data engineering, including experience building or supporting production data systems.
  • Strong programming skills in Python, Java, or another general-purpose language, plus strong SQL skills.
  • Experience building or maintaining ETL/ELT pipelines and working with technologies such as dbt, Fivetran, or similar tools.
  • Hands-on experience building production pipelines for file ingestion into a data warehouse.
  • Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and orchestration tools such as Airflow or Cloud Composer/ Good experience with Airflow.
  • Understanding of data modeling, data quality, relational data, andquery andperformance optimization.
  • Strong software engineering fundamentals, including version control, testing, code reviews, and CI/CD.
  • Ability to troubleshoot production systems methodically and communicate effectively with technical and business partners.
  • Experience in Financial Services or FinTech preferred

**No C2C resumes are considered**

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .

The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,652,266 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
San Francisco
≈ $82k – $154k per year (Estimated) • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • Chattanooga • Portland • Atlanta
SQL
Databases
Db2
Teradata
AI/ML
Machine Learning
Management
Agile
Apply
Dynamics Data Engineer 3 months ago
≈ $86k – $163k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Houston
JavaScript
SQL
C#
C#
.NET
Databases
Oracle
DevOps
Rest API
Azure
CI/CD
SOAP
Analytics
Power BI
Management
Power Automate
Agile
Scrum
Kanban
Apply
$100k – $155k per year • Equity • Remote (location not specified) • Full-Time • 6+ years exp • Bachelor's Degree • United States
Python
SQL
AI/ML
NLP
LLM
Time Series Forecasting
Feature Store
Machine Learning
DevOps
CI/CD
Git
Management
Agile
Scrum
Kanban
Apply
≈ $80k – $132k per year (Estimated) • Remote (Germany, United Kingdom, Austria, Ireland, Poland) • Full-Time
Python
JavaScript
TypeScript
SQL
Databases
Snowflake
Databricks
AI/ML
AI Agents
Frontend
React.js
DevOps
CI/CD
AWS
AWS Lambda
Amazon EC2
Amazon S3
Amazon ECS
Amazon CloudWatch
Management
Agile
Apply
Senior Data Engineer 5 hours ago
$155k – $175k per year • Remote (United States) • Full-Time
Python
Java
SQL
Scala
Databases
MySQL
PostgreSQL
Snowflake
Databricks
Oracle
Cassandra
RabbitMQ
Apache Kafka
AI/ML
Spark
Airflow
Flink
Machine Learning
DevOps
Terraform
GCP
Helm
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Analytics
ETL/ELT
Apache NiFi
Dimensional Modeling
Master Data Management
Management
Agile
Apply
≈ $127k – $307k per year (Estimated) • In office • Full-Time • Bachelor's Degree • San Francisco
Python
AI/ML
CUDA Toolkit
Fine-tuning
AI Agents
ONNX
TensorRT
PyTorch
Anomaly Detection
CUDA
Vision-Language-Action
World Models
Physical AI
Robotics
ROS2
Isaac Sim
Teleoperation
Sim-to-Real
Imitation Learning
OpenVLA
Apply
≈ $71k – $140k per year (Estimated) • In office • 3+ years exp • San Francisco
DevOps
Windows
Cybersecurity
Okta
SOC 2
Microsoft Entra ID
Management
Slack
Confluence
Jira
Google Workspace
Gmail
ITSM
Apply
In office • Full-Time • San Francisco
Marketing
HubSpot
LinkedIn
Apply
$120k – $135k per year • In office • 3+ years exp • Bachelor's Degree • San Francisco
Management
Microsoft Office
Apply
$185k – $300k per year • Hybrid • Full-Time • 10+ years exp • Fargo • Irving • San Francisco • Des Moines • Concord
Apply
See all jobs
This is one of many
1,652,266 more open roles from verified company boards, updated every day.