Data Engineer II

Early Warning

. Evaluate, design and develop business intelligence solutions across multiple technology stacks .

Posted 10/2/2026full-timeUnited StatesJuniorMid-Level💰 $83,000 - $132,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing business intelligence solutions, including backend data engineering and ETL processes. Proficient in utilizing tools like Tableau for dashboard creation and has a strong foundation in data analysis and machine learning frameworks.

Highest-signal resume keywords

Data Engineering DevelopmentTableau Dashboard DevelopmentETL Design and ImplementationPySpark/Python ProgrammingSQL Spark Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingMachine Learning ToolkitsRelational DatabasesQuery OptimizationHadoopAWS/S3ScalaLinuxData Infrastructure

Soft Skills

Strong Communication SkillsProblem SolvingMentoring

Tools & Technologies

TableauCloudera Technology StackHiveImpalaData Science Platform

Industry Keywords

Fin-techRisk ManagementEnterprise Environment

Tech Stack

Tools & technologies

AWSETLHadoopJavaLinuxPySparkPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Evaluate, design and develop business intelligence solutions across multiple technology stacks
Work with business users to define requirements for reports and dashboards and identify gaps in data, logic and business understanding
Design and develop backend solutions for new data sources using the Cloudera technology stack
Create complex, visually appealing and interactive Tableau dashboards, scorecards and reports
Conduct in-depth data analysis, including cause-and-effect analysis
Design data ETL and manipulations for production and ad-hoc analyses and reports
Research industry best practices and help guide strategic data platforms, tools and processes
Recommend standards, policies and procedures for BI tools and systems
Provide support and training to business teams
Write data infrastructure and analytics software tools for Data Science
Mentor and train interns
Guide Data Scientists on software engineering best practices
Collaborate with analytics leadership and engineers on architectural and software enhancements to the Data Science platform
Collaborate with Data Science leadership to improve ETL and cluster computing
Support the company’s commitment to risk management and protect the integrity and confidentiality of systems and data

Requirements

What you’ll need

Bachelor’s degree
2–4 years of demonstrated progressive work experience with PySpark/Python/Spark/Scala in a Linux environment for Data Engineering development
Understanding of Tableau Server and Tableau Dashboard
Demonstrated ability with testing, problem solving and analysis
Knowledge of dashboard development, reporting, data modeling, ETL and systems design
Experience working with SQL Spark
Software/data engineering in Python
Machine Learning toolkits in Python/R
Experience building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
Knowledge of relational databases, query optimization/tuning, indexing and partitioning
Experience collaborating with internal engineering and technology teams on data infrastructure in a regulated, enterprise environment
Strong communication skills
Background and drug screen
Preferred: Scala/Java PySpark experience
Preferred: Experience with Hive/Impala and Linux
Preferred: Fin-tech experience

Benefits

Comp & perks

Healthcare coverage including medical (PPO/HDHP), dental, and vision plans
Company contributions to HSA or pre-tax FSA savings accounts
401(k) Retirement Plan with 100% Company Safe Harbor Match on the first 6% deferral immediately upon eligibility
Flexible Time Off for exempt employees
Generous PTO for non-exempt employees
11 paid company holidays
Paid volunteer day
12 weeks of Paid Parental Leave
Maven Family Planning support including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work
Discretionary incentive plan
Benefits program enhancements and additional benefits