Data Warehouse Applications

Data Warehouse Applications Engineer Jobs

3 jobs found

15d ago

Senior Data Engineer

Collectors Los Angeles, CA

Los Angeles, CA

15d ago

$136k - $220k/yr Full time Senior Change Data Capture Data

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Job Description

Collectors is hiring a hands-on Senior Data Engineer to design, build, and operate data platform pipelines and foundations for analytics, reporting, and AI agent workflows.

Responsibilities

Build and own core data platform components across ingestion tools (Hevo, Estuary), the Google BigQuery warehouse, and the dbt transformation layer
Shape platform evolution by contributing to architecture, writing design docs, and participating in design reviews with senior technical leaders
Design and maintain batch and CDC ingestion pipelines for operational databases, SaaS applications, and ERP systems
Evaluate ingestion and platform tooling with clear trade-off reasoning for buy vs. build
Develop end-to-end with AI coding agents, using Claude Code and similar tools daily
Improve reliability and observability by implementing testing, monitoring, alerting, and on-call practices so data is timely and failures are detected early
Implement governance and operational controls, including access models, auditability, and data safeguards for datasets and pipelines you own
Build foundations for agentic analytics with well-modeled, well-governed data that agents and MCP connections can trust for accurate answers
Engineer tooling and services beyond the warehouse by building APIs, automated jobs, and internal tools in Python to expand data access beyond SQL
Mentor engineers through thoughtful code review, pairing, and knowledge sharing to raise consistency and quality
Explore warehouse next steps via hands-on POCs on lakehouse patterns, open table formats, and alternative query engines

Requirements

5+ years building production data platforms and pipelines, with a track record of independently owning and delivering complex projects
Strong hands-on data stack experience, including cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling
Ability to weigh platform decisions and clearly explain design trade-offs in writing and in person
Practical experience developing with Claude Code or a similar coding agent, treating it as a core engineering practice
Reliability-focused mindset with experience implementing testing, observability, and operating practices
Governance-aware approach to access controls, auditability, and data-quality safeguards
Collaboration skills, including mentoring and knowledge sharing through code review
Technical fluency and communication strength: SQL and Python, comfortable with version control, CI/CD, and testing; able to explain work to technical and non-technical stakeholders
Comfort working with cloud infrastructure, including serverless compute, storage, and secrets on GCP or AWS
Curiosity about the evolving data stack, including lakehouse patterns and query engines, with interest in testing ideas hands-on

Technologies

Hevo
Estuary
Google BigQuery
dbt
Claude Code
Python
SQL
CI/CD
lakehouse patterns
open table formats
MCP
GCP
AWS

Benefits

Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision
Additional Benefits: Fertility, commuter, and educational assistance benefits
401(K) Matching Plan: Competitive 401k matching plan
Vacation: Flexible time-off for salaried employees
Holiday Pay: Ten company paid holidays for regular, full-time employees
Employee Discounts: Discounts on select grading services for approved submissions
Flexible Hours: Flexible schedules with varying shifts; teams work with needs
Fun Working Environment: Invitations to celebrations, holiday events, and team building activities

Compensation

Salary range: $135,549 - $220,067 per year
Actual compensation varies by location, job level, experience, and skill set
This role may be eligible for bonuses, commissions, or other forms of compensation; ask your recruiter for details

Interview Process and Remote/Onsite Expectations

Candidates are requested to have cameras on during video interviews
Certain interview steps may take place by phone
Remote or hybrid candidates will be considered
Candidates may be asked to participate in an on-site interview as part of the final stages (at Collectors’ discretion)
Certain candidates living within a 1 hour commuting distance to a Collectors office may be required to be onsite most of the time
Recruiter can clarify expectations and answer questions
Accommodation requests for occasional circumstances can be discussed during the process

Employment-Related Statements

Collectors uses e-Verify to validate work authorization in the United States
Fraud warning: if an offer appears to be fraudulently alleged to be from Collectors, contact interviewfraud@collectors.com
Collectors states it never asks for personal information such as bank account, Social Security numbers, or National IDs, and it does not request payments for business-related equipment
For application or interview accommodations due to disability or special need, email interviewaccommodation@collectors.com
U.S. residents: disclosures related to personal information are available in the Privacy Notice for U.S. Applicants
New York residents: Collectors Universe, Inc. uses an automated employment decision tool (Brighthire) to assist in evaluating candidates; it began September 2026
NYC Local Law 144: a summary of the most recent independent bias audit is available from Brighthire
To request information about data collected, its source, and retention policy, contact ta-operations@collectors.com

Location: Los Angeles, CA (hybrid)

Minimum experience: 5 years

Job type: Full-time (salary range provided)

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1mo ago

Data Engineer – Manufacturing Quality & Automation

OMG Technology Raleigh, NC

Raleigh, NC

1mo ago Closed

$50 - $55/hr Contract Analytics Automation Automation Developer

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Data Engineer position supporting manufacturing quality assurance, process automation, and BI for a pharmaceutical industry client.

Contract role in Raleigh, NC (onsite)
Pay: USD 50–55/hour (W2 $50; C2C $55)
Experience: 5+ years
Interviews: video interviews
Docs: ID proof required

Responsibilities

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Integrate data from manufacturing systems including MES, ERP, quality systems, IoT devices, and enterprise applications
Develop and maintain data models, data warehouses, and lakehouse architectures
Ensure data quality, accuracy, governance, and security across data assets
Optimize processing workflows for performance and reliability
Analyze manufacturing and quality data to surface trends, defects, and process improvement opportunities
Support quality initiatives with data validation, root cause analysis, and KPI tracking
Build manufacturing quality metrics and reporting frameworks
Partner with QA teams to implement automated monitoring and data quality checks
Design and develop RPA solutions using UiPath or Microsoft Power Automate
Automate manual business and quality processes to improve productivity and reduce errors
Connect automation workflows with ERP, quality systems, SharePoint, Teams, and other enterprise applications
Monitor and improve automation performance and reliability
Create Power BI dashboards, scorecards, and reports for manufacturing and quality stakeholders
Develop semantic models, DAX calculations, KPIs, and drill-down analytics
Enable self-service reporting and business insights
Optimize report performance and governance

Requirements

5+ years of experience in Data Engineering, Manufacturing Analytics, Quality Systems, or Automation
Hands-on experience in a Manufacturing / Production environment
Strong understanding of Manufacturing Quality / QA processes, including CAPA and process validation
Expertise in SQL and relational databases
Experience with ETL/ELT tools and data integration frameworks
Hands-on experience with Power BI, DAX, Power Query, and data visualization
Experience with UiPath and/or Microsoft Power Automate
Knowledge of Supply Chain processes
Experience with ERP systems such as SAP, Oracle, or similar platforms
Programming experience in Python, PySpark, or similar technologies
Experience with data validation, data quality, governance, and testing
Ability to work 5 days onsite in Greenville, NC

Technologies

UiPath
Microsoft Power Automate
Power BI
DAX
Power Query
SQL
ETL/ELT
RPA
Python
PySpark
MES
ERP
IoT devices
SharePoint
Teams
SAP
Oracle

Role Summary

Work across Manufacturing Operations, Quality Engineering, Business Analysts, and IT teams
Improve product quality, operational efficiency, and data-driven decision-making

Onsite location: Greenville, NC
Availability: candidates able to join immediately are preferred

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1mo ago

Data ETL / Data Engineer

UST Richmond, VA

Richmond, VA

1mo ago Closed

$106k - $159k/yr Full time Backend Developer Artificial Intelligence Big Data

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

UST is seeking a Data ETL / Data Engineer to design and deliver ETL and data pipeline solutions, along with data warehouse architectures. The role focuses on scalable data processing, pipeline reliability, and performance optimization across modern data platforms.

Key Responsibilities

Design, develop, test, and maintain ETL and data pipeline solutions.
Build scalable data processing workflows using Python and PySpark.
Develop and optimize SQL/PLSQL scripts for data extraction, transformation, and loading.
Design and maintain data warehouse architectures and data models.
Perform performance tuning and query optimization for large datasets.
Work with Databricks, Snowflake, and PostgreSQL environments.
Manage source code repositories using Bitbucket and follow CI/CD best practices.
Leverage AI-powered development tools to improve productivity and code quality.
Collaborate with business stakeholders, data analysts, and cross-functional teams to deliver data solutions.
Create technical documentation and support production deployments.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Strong experience in ETL development and data engineering.
Hands-on experience with SQL, Python, and PySpark.
Experience in data warehousing and database performance tuning.
Knowledge of cloud-based data platforms and modern data engineering practices.
Strong analytical, troubleshooting, and problem-solving skills.

Technologies and Tools

Python, PySpark, SQL, PLSQL
Databricks, Snowflake, PostgreSQL
Bitbucket, GitHub Copilot, Windsurf
T-SQL, AWS RDS PostgreSQL, Shell Scripting
AI Agents, Generative AI, AWS cloud services
Additional tooling noted: AI-driven solutions

Benefits

Full-time employees accrue a minimum of 10 days of paid vacation per year.
Full-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).
10 paid holidays.
Eligible for paid bereavement leave and jury duty.
Eligibility to participate in the 401(k) Retirement Plan with employer matching.
Medical, dental, and vision insurance (for employees and dependents residing in the US).
Company-paid basic life insurance.
Company-paid accidental death and disability insurance.
Company-paid short- and long-term disability benefits.
Eligible to purchase additional voluntary short-term disability benefits.
Health Savings Account (HSA) eligibility.
Flexible Spending Account (FSA) eligibility.

Role Details

Location: Richmond, VA (onsite)
Compensation range: USD 106,000 - 159,000 per yearly
Role location: Virginia

Additional Information

UST embraces the values that shaped the company since day one: Humility, Humanity, and Integrity.
Equal Employment Opportunity: UST is an Equal Opportunity Employer and considers qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other protected characteristics under applicable law.
UST will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances.
UST reserves the right to periodically redefine roles and responsibilities based on organizational needs and/or performance.

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Data Warehouse Applications Engineer Jobs

Senior Data Engineer

Data Engineer – Manufacturing Quality & Automation

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