Data Engineer I, AWS, Databricks

Jobtailor; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor seeks a senior data engineer in the United States to build and operationalize complex data solutions, ensuring data governance and quality across pipelines. You will collaborate with cross-functional teams and educate users on data products.

Ideal candidates bring strong programming, CI/CD, and debugging skills, with experience in AI/ML-enabled data workflows and real-time processing. This role requires authorization to work in the US.

Qualifications

• Bachelor’s degree in computer science or related field or equivalent education/work experience.
• Six years of related experience in data engineering or software engineering.
• Two additional years of software/data engineering experience.
• Strong data engineering fundamentals and hands-on experience designing, building, and optimizing data pipelines.
• Proficiency with AWS Lambdas, EventBridge, Step Functions, DynamoDB, and Athena.
• Experience with AI tools and concepts (e.g., Claude).
• Familiarity with GitHub Copilot and relevant tooling.
• Experience with Jira, GitHub, Snyk, ServiceNow, and Autosys.
• Proficient programming skills, testing, CI/CD, and version control.

Responsibilities

• Build and operationalize complex data solutions.
• Correct problems and apply data transformations.
• Recommend data cleansing and quality solutions.
• Design data solutions.
• Analyze data sources to determine value for analytics.
• Incorporate data governance, security, and quality practices.
• Collaborate within and across teams to support delivery.
• Educate end users on data products and analytics environment.
• Perform data/system analysis, assessment, and resolution for moderately complex defects and incidents.
• Test data movement, transformation code, and data components.
• Support data pipelines and solutions for AI/ML and BI.
• Perform other duties as assigned.

Skills

Data engineering fundamentals

AWS Lambdas

Databricks notebooks

AI tools concepts

CI/CD and version control

Problem solving

Communication skills

Leadership

Data governance & quality

Self-motivation

Education

Bachelor’s degree in computer science or related field

Six years of related experience

Two additional years of software/data engineering experience

Tools

Databricks

Unity Catalog

Genie

Autoloader

Jira

GitHub

Snyk

ServiceNow

Autosys

GitHub Copilot

Job description

• Build and operationalize complex data solutions
• Correct problems and apply data transformations
• Recommend data cleansing and quality solutions
• Design data solutions
• Analyze data sources to determine value and recommend data for analytical processes
• Incorporate data governance, data security, and data quality practices
• Collaborate within and across teams to support delivery
• Educate end users on data products and the analytics environment
• Perform data and system analysis, assessment, and resolution for moderately complex defects and incidents
• Test data movement, transformation code, and data components
• Support data pipelines and solutions for artificial intelligence, machine learning, and business intelligence/insights
• Perform other duties as assigned

Requirements

• Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience
• Six years of related experience
• Two additional years of software/data engineering experience
• Strong data engineering fundamentals and hands‑on experience designing, building, and optimizing data pipelines
• Proficiency with AWS Lambdas, EventBridge, Step Functions, DynamoDB, and Athena
• Proficiency with Databricks Notebooks, Jobs, Unity Catalog, Genie, Autoloader, streaming, and near real‑time data processing
• Experience with AI tools and concepts, such as Claude
• Familiarity with GitHub Copilot
• Experience with Jira, GitHub, Snyk, ServiceNow, and Autosys
• Proficient programming skills and understanding of testing, CI/CD, and version control
• Ability to deliver work predictably, decompose assignments into small batch releases, and contribute to tradeoff and negotiation discussions
• Domain expertise and in‑depth knowledge of immediate systems worked on
• Problem‑solving and debugging skills
• Strong verbal and written communication skills
• Intermediate leadership skills and demonstrated self‑motivation
• Must be authorized to work for any employer in the United States
• The company does not sponsor or support H‑1B petitions, TN, or Forms I‑983/STEM OPT for this role

Core Competencies

Demonstrates strong data engineering fundamentals with hands‑on experience in designing, building, and optimizing data pipelines. Proficient in data governance, data security, and data quality practices, with the ability to collaborate effectively across teams and educate end users on data products.

Highest‑signal resume keywords

• Data Engineering Fundamentals
• AWS Lambdas
• Databricks Notebooks
• AI Tools and Concepts
• Problem‑Solving Skills

Hard Skills

• Data Pipeline Optimization
• Data Transformation
• Data Cleansing Solutions
• Data Analysis
• Data Governance Practices
• Data Quality Practices
• Software/Data Engineering
• Programming Skills
• Testing and CI/CD
• Version Control

Soft Skills

• Strong Communication Skills
• Intermediate Leadership Skills
• Self‑Motivation
• Collaboration

Industry Keywords

• Data Solutions
• Artificial Intelligence
• Machine Learning
• Business Intelligence
• Data Products

Tools & Technologies

• AWS EventBridge
• AWS Step Functions
• AWS DynamoDB
• AWS Athena
• Databricks Jobs
• Unity Catalog
• GitHub Copilot
• Jira
• Snyk
• ServiceNow