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Senior Data Integration Engineer
Fermi Inc
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…intelligence. By delivering highly reliable, gigawatt-scale power solutions, we are helping meet the rapidly growing energy demands of advanced AI…
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QA Automation Engineer / Tester
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Proficiency in at least one programming or scripting language such as JavaScript, TypeScript, Python, Java, or C#.
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2027 Summer Intern - Digital, AI, and Clinical Outcome Assessments
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Data Stewardship Lead, Director - BlackRock Data Office
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…working closely with Client Business COOs, the Global Product Solutions organization, and…
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Client Data Steward, Associate - BlackRock Data Office
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…enterprise, working with Client Business COOs, the Global Product Solutions organization, and…
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Software Engineer - AI Voice Systems
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…building voice experiences that connect customers to the right solutions faster and more effectively. As a Software Engineer, you’ll build and maintain scalable, cloud-based services that…
Added 9 mins ago
Senior Data Engineer
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The New York Stock Exchange is seeking a senior developer to join the team responsible for data analytics workflows for trading data. The successful candidate will be responsible for…
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Principal Software Engineer (Prisma Access)
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Solutions Architect, AI & Automation
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This position is based full-time in our Mountain View, CA office, with on-site presence required 5 days per week
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Founding Software Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $250,000 USD / year
- Work directly with enterprise customers to understand their needs and deliver effective solutions.
Added 17 mins ago
Principal Developer
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Are you a seasoned software developer with a passion for coding, collaboration, and mentorship? Join Kinsale Insurance, a fast-growing and successful excess and surplus (E&S) lines carrier…
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Software Developer / Senior Software Developer
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As a Software Developer / Senior Software Developer, you'll join one of our cross-functional Agile teams and contribute to the full lifecycle of enterprise applications, from design to…
Added 23 mins ago
Data Engineer
Velosio
United States
Velosio is seeking a Microsoft Fabric Data Engineer to support the design, development, and delivery of modern data solutions across the Microsoft ecosystem.
Added 24 mins ago
IG
Data Engineer
Insight Global
Burbank, CA
- $150,000 to $160,000 USD / year
Strong hands-on experience with Python and SQL.
Added 27 mins ago
Human Resources Intern, HR Analytics (Summer 2027)
GlobalFoundries
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Must have at least an overall 3.0 GPA and be in good academic standing
Added 27 mins ago
Principal Engineer, Quantum Photonics Integration (2027 New College Graduate)
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…delivers differentiated, power-efficient and high-performance solutions for high-growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and…
Added 27 mins ago
Sr Engineer Production Control
GlobalFoundries
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Senior UiPath RPA Developer Engineer (Senior Software Engineer)
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Melville, NY
- $105,400 to $183,000 USD / year
As a Senior UiPath RPA Developer Engineer within Northwell Health's RPA Center of Excellence, you will play a critical role in designing, developing, and maintaining robust automation…
Added 27 mins ago
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Summer 2027 Internship Program: Machine Learning Engineering Brooklyn, NY
National Grid USA Service Company, Inc.
BROOKLYN, NY
- $22 to $28 USD / hour
You will be based in Brooklyn, NY and must reside within a commutable distance to the designated work location during this period
Added 28 mins ago
Graduate Development Program, Associate Technology Engineer, Technology Engineer
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…Technology Engineering team, you'll help develop data and AI solutions that support National Grid's Electric and Gas businesses, clean energy initiatives, customer experiences, and internal…
Added 28 mins ago
Data Center CFD Analyst, Lead Consultant
WSP
Troy, NY · Herndon, VA · Atlanta, GA · Milwaukee, WI · Houston, TX · Dallas, TX · New York, NY · Tempe, AZ · NY

Insight Global

Data Engineer

Burbank, CA, United States

$150,000 to $160,000 USD / year

Apply on insightglobal.com About employer

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Job details

Pay: $150,000 to $160,000 USD / year
Experience: 6+ years of Data Engineering or closely related software/data platform experience.
Posting language: English
Posted: Nov 11, 2026

Original job description

Required Skills & Experience

6+ years of Data Engineering or closely related software/data platform experience.
Strong hands-on experience with Python and SQL.
3+ years building production ETL/ELT pipelines in a code-first environment.
Experience with modern cloud data warehouses or lakehouse architectures such as BigQuery, Snowflake, Databricks, Redshift, or Synapse.
Strong understanding of data modeling, including dimensional models, fact/dimension structures, layered architectures, and reusable analytical datasets.
Experience establishing production standards around data quality, testing, monitoring, lineage, and reliability.
Experience with Git-based development, code reviews, testing, and CI/CD.
Demonstrated experience owning technical decisions, leading projects, or mentoring engineers.

Nice to Have Skills & Experience

Experience with GCP, particularly BigQuery, Cloud Composer, Pub/Sub, Dataflow, and Cloud Storage.
Hands-on experience with dbt.
Spark or PySpark experience.
Experience with orchestration technologies such as Airflow/Cloud Composer, Dagster, Prefect, or similar platforms.
Experience designing batch and streaming architectures.
Terraform or other infrastructure-as-code experience.
Experience with semantic layers, dimensional modeling, or enterprise analytics platforms.
Experience working with large-scale customer or transactional datasets.
Familiarity with geospatial data.
Experience supporting Data Science teams with feature engineering, training datasets, or analytical data products.
Exposure to machine learning, BQML, Vertex AI, or predictive modeling.
Familiarity with LLMs, RAG, semantic search, vector embeddings, knowledge graphs, or AI agents.
Experience in pricing, recommendations, forecasting, customer analytics, or real-estate-related datasets

Job Description

We are seeking a Senior Data Engineer to design, build, and scale modern data platforms that support analytics, machine learning, AI, and operational use cases across the organization. This role is highly hands-on and will focus on building reliable data pipelines, scalable data models, strong data-quality frameworks, and reusable platform capabilities. The ideal candidate is strong in Python, SQL, data modeling, and cloud-based data engineering, enjoys solving complex data problems, and can help influence engineering standards. ________________________________________ What You’ll Do Data Engineering & Pipeline Development

Architect, build, and maintain batch and streaming data pipelines using technologies such as BigQuery, dbt, Airflow/Cloud Composer, Pub/Sub, and Dataflow.
Design scalable layered data models, dimensional models, semantic layers, and reusable data products that evolve with business needs.
Build reliable ingestion and transformation frameworks across transactional systems, APIs, application data, web events, and third-party sources.
Work with large-scale structured and unstructured datasets, including customer, transactional, web, call-center, text, image, and event data.
Develop reusable Python and SQL frameworks that improve engineering productivity and standardize data delivery.
Build trusted, analytics-ready and model-ready datasets for downstream Data Science, analytics, AI, and operational applications. Data Quality, Governance & Observability
Establish and enforce best practices around data quality, lineage, observability, testing, documentation, and schema governance.
Develop automated validation and monitoring to identify pipeline failures, schema changes, anomalies, and data-quality issues.
Build reliable retry, recovery, and alerting patterns for production pipelines.
Ensure datasets are trustworthy, traceable, secure, and appropriately governed.
Partner with security and platform teams on access controls, sensitive-data handling, and data-governance standards. Performance & Platform Optimization
Optimize BigQuery workloads for performance and cost through partitioning, clustering, query optimization, and workload-aware data modeling.
Evaluate pipeline performance and identify opportunities to improve scalability, latency, reliability, and cloud spend.
Support both batch and event-driven architectures based on business and technical requirements.
Evaluate emerging GCP and third-party technologies and recommend appropriate solutions based on scalability, maintainability, and cost.
Build shared libraries, templates, and technical standards that accelerate development across the engineering team. Data Science & AI Enablement
Partner closely with Data Scientists to build feature pipelines and model-ready datasets supporting forecasting, pricing, recommendations, customer analytics, and other predictive use cases.
Enable AI and LLM initiatives by creating reliable data foundations for conversational analytics, RAG, semantic search, and enterprise AI applications.
Support data preparation and integration for structured and unstructured AI use cases.
Explore capabilities such as BQML, vector search, graph-based data patterns, and AI-assisted development where they provide clear business value.
MLOps expertise is not required, but experience supporting ML or AI teams is a plus. Cross-Functional Collaboration & Technical Leadership
Partner with Data Scientists, analysts, engineers, and business stakeholders to translate ambiguous requirements into scalable production data solutions.
Collaborate with pricing, digital product, analytics, customer, and business teams to understand data requirements and deliver trusted data products.
Participate in architecture and design reviews and clearly communicate technical decisions and trade-offs.
Mentor engineers and help establish engineering standards across development, testing, deployment, and documentation.
Contribute to a culture centered on ownership, curiosity, thoughtful technical debate, and continuous learning.

Apply on insightglobal.com About employer

More about this job

Skills

Data engineering
Python
SQL
BigQuery
Snowflake
Databricks
Amazon Redshift
Data modelling
Git
CI/CD
Coaching
Google Cloud
dbt
Apache Spark
PySpark
Apache Airflow
IBM Terraform
Infrastructure as code
Machine learning
Forecasting
Data models
Documentation
ML
Collaboration
Leadership

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Work requirements

Jobs in the United States