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Step Functions Engineer Jobs

2 jobs found

3d ago

Senior Data Engineer

Steampunk McLean, VA

McLean, VA

3d ago

$140k - $180k/yr Full time Senior Apache Airflow AWS

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Job Description

Steampunk is a change agent in federal contracting, bringing new thinking to clients across Homeland and Federal Civil. In this onsite role in McLean, VA, you will help design and deliver enterprise-grade data platforms, services, and pipelines in Databricks, with a focus on leadership, reliability, and performance.

This position supports Steampunk’s AI & Data Exploitation Practice and centers on data engineering migrations, workflow and ETL assessment, and responsive technical collaboration with project teams and client stakeholders.

What you will do

Lead and architect data migrations using Databricks, emphasizing performance, reliability, and scalability.
Assess ETL jobs and understand workflows, data marts, BI tools, and reports.
Respond to technical inquiries related to customization, integration, enterprise architecture, and the feature and functionality of data products.
Support an Agile software development lifecycle.
Contribute to the growth of Steampunk’s AI & Data Exploitation Practice.

What you bring

Current ICE US Public Trust Clearance (Full Background Investigation).
Ability to hold a position of public trust with the US government.
5 to 7 years industry experience coding commercial software, with a passion for solving complex problems.
5 to 7 years direct experience in Data Engineering with tools including:
- Databricks, Apache Spark, Delta Lake, and related big data tools
- Relational SQL (preferably T-SQL; alternatively pgSQL or MySQL)
- Data pipeline and workflow management tools such as Databricks Workflows, Airflow, or Step Functions
- AWS and Azure cloud services (for example, Databricks on AWS, S3, EC2, RDS)
- Object-oriented or scripting languages such as PySpark/Python, Java, C++, or Scala
- Experience with Data Lakehouse architecture, including Delta Lake and Apache Iceberg
Advanced working knowledge of SQL, including query authoring and optimization, plus working familiarity with a variety of relational databases.
Experience manipulating, processing, and extracting value from large, disconnected datasets.
Ability to inspect existing data pipelines, determine purpose and functionality, and re-implement them efficiently in Databricks.
Experience manipulating structured and unstructured data.
Experience architecting data systems (transactional and warehouses).
Experience with SDLC, CI/CD, and operating in dev/test/prod environments.
Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, or DataZone is a plus.
Commitment to data governance.
Experience supporting project teams of developers and data scientists building web-based interfaces, dashboards, reports, and analytics or machine learning models.
Experience working in an Agile environment.

Salary and location

Location: McLean, VA (onsite)
Salary: USD 140,000 - 180,000 per year
Minimum experience: 5 years

Identity verification

During the application process, you are expected to be on camera during interviews and assessments.
Steampunk may take your picture to verify your identity and prevent fraud.

Technologies

Databricks, SQL, T-SQL, pgSQL, MySQL, PySpark, Python
Apache Spark, Delta Lake, Databricks Workflows, Airflow, Step Functions
AWS, Azure, S3, EC2, RDS
Java, C++, Scala
Data Lakehouse, Apache Iceberg
Informatica EDC, Unity Catalog, Collibra, Alation, Purview, DataZone
CI/CD, SDLC

Steampunk’s Human-Centered delivery methodology aims to change what federal clients expect from shared accountability when solving their toughest mission challenges.

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2mo ago

Software Engineer, Enterprise

Twitch Interactive, Inc. - D48 San Francisco, CA

San Francisco, CA

2mo ago Closed

$165k - $224k/yr Full time Backend Developer Senior API

This position is no longer accepting applications (closed Jul 21, 2026).

Job Description

Software Engineer, Enterprise at Twitch in San Francisco, CA onsite leads architecture and delivery of AI-powered enterprise systems on AWS, guiding multi-engineer projects and mentoring teammates.

Responsibilities

Lead cross-team initiatives, owning end-to-end design, coordinating parallel work, and delivering across the full software lifecycle from design through deployment and operations.
Own team-level architecture for enterprise systems, providing system-wide guidance to ensure cohesive, extensible, and secure solutions.
Develop and operate production applications using AWS-native services such as Lambda, Step Functions, DynamoDB, Bedrock, S3, CDK, and API Gateway.
Design and deploy AI-powered, agentic workflows that ship to production, automating business processes, reducing toil, and speeding delivery.
Define agentic architecture patterns and establish best practices for building, testing, and operating AI systems in production, setting engineering standards for AI work.
Design and implement data pipelines, data lake integrations, and data models that enable clean, reliable data flows across enterprise systems.
Advocate for engineering best practices within the team, promoting robust software development through rigorous code reviews and strong operational discipline.
Mentor and coach other engineers to grow technical skills and independence.
Proactively simplify systems, resolve architectural deficiencies, and reduce operational burden by identifying high-risk, irreversible decisions and advocating for durable, long-term solutions.
Communicate technical designs and decisions clearly in writing, translating complex problems into concise explanations for peers and leadership.

Requirements

4+ years of professional software development experience (non-internship).
5+ years of experience shipping production software systems.
2+ years hands-on experience building AI/ML powered systems deployed to production.
Experience with agentic architectures and production launches.
Proficiency in multiple programming languages, such as Python, TypeScript/JavaScript, and Java.
Experience designing and building applications using AWS-native services, not solely deploying third-party software on cloud infrastructure.
Proven ability to lead projects with multiple engineers, owning architecture decisions and integrating parallel work streams.
Experience designing and building data pipelines, data models, or data lake systems.
Track record of incrementally delivering—prototyping, validating, iterating, and releasing frequently.
Strong written communication skills, including the ability to produce technical design documents that align with peers and leadership.
Demonstrated ability to solve complex problems with multiple risks and constraints, delivering simple, robust solutions.

Technologies

Python
TypeScript/JavaScript
Java
AWS Lambda
AWS Step Functions
DynamoDB
Bedrock
S3
AWS CDK
API Gateway
Salesforce
ServiceNow

Benefits

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount

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