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Data Engineer Jobs

137 jobs found

Today

Senior Analytics Engineer

Motion Picture Industry Pension & Health Plans Los Angeles, CA

Los Angeles, CA

Today

$125k - $145k/yr Full time Senior Analytics Business Analytics

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Job Description

Benefits

Free comprehensive medical, dental, and vision coverage
Generous paid time off for vacation, personal time, and holidays
Retirement benefits that support long-term financial security
Professional development opportunities to grow your skills

The Senior Analytics Engineer role is based in Los Angeles, CA with a hybrid work arrangement. It sits within MPI's IT department in Studio City, CA. Compensation ranges from USD 125,000 to 145,000 per year.

Responsibilities

Design, build, and deliver interactive Power BI datasets, dashboards, reports, and stories that are easy to interpret
Create, deploy, and maintain ETL and ELT pipelines using SSIS, Alteryx, and Microsoft Fabric
Craft and optimize complex SQL queries, views, and stored procedures
Develop and manage Alteryx workflows and analytic applications
Provide daily operational and production support for Power BI, Alteryx, and other BI solutions, including dashboards and reports
Maintain data quality, reliability, performance, and scalability across analytics solutions
Apply data governance, lineage, sensitivity labeling, and compliance standards via Microsoft Purview
Ensure regulatory compliance such as HIPAA in all data use and access activities
Collaborate with business users and IT partners to convert requirements into effective analytics solutions
Communicate clearly with both technical and non-technical audiences through written, verbal, and formal presentations
Participate in design and peer reviews within the department
Stay current with BI and data analytics trends, tools, and best practices

Requirements

7+ years of hands-on experience as a SQL Developer or Data Analyst
Bachelor’s or Master’s degree in Computer Science, Business Administration, Information Systems/Technology, or a related field, or an equivalent mix of education and experience
Strong analytical and problem-solving abilities with the capacity to adapt to a fast-paced environment
Extensive experience building and maintaining data pipelines using MS Fabric, and modeling and transforming data with Fabric Lakehouse or Warehouse
Experience documenting data models, reports, and pipeline logic and a solid understanding of data warehousing concepts
Proficiency with Power BI including data preparation, modeling, DAX, and report optimization; ability to develop paginated reports with Power BI Report Builder for operational needs
Solid Alteryx experience covering workflow development, optimization, and ongoing support
Ability to maintain and support SSIS packages
Experience administering and supporting Alteryx Server, including upgrades, MongoDB backups, and issue resolution
Advanced Microsoft Excel skills for data analysis and trend identification
Experience providing production support for BI and analytics solutions
Excellent written and verbal communication skills and the ability to collaborate with colleagues at all levels
Strong reliability and attendance; flexibility to work extended hours when required
Ability to take direction and feedback from supervisors
Experience in regulated industries such as insurance, healthcare, or financial services is preferred
Experience supporting self-service governance and governed analytics environments with familiarity of modern data governance and compliance is preferred

Technologies

Microsoft Fabric
Power BI
Alteryx
SSIS
Microsoft Purview
Fabric Lakehouse/Warehouse
DAX
Power BI Report Builder
MongoDB
Microsoft Excel
SQL

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1d ago

Lead Data Engineer

Daley and Associates Boston, MA

Boston, MA

1d ago

Full time Cloud Cloud Platform Data

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Job Description

Daley and Associates seeks a Lead Data Engineer to specialize in data integration, dbt driven data modeling in Snowflake, and end to end data pipelines for investment data. This on site role in Boston, MA requires three days per week on site, supporting the Investment Data Management Office.

Responsibilities

Design, develop, and maintain dbt data models in Snowflake, implementing business logic and ensuring alignment with the established data architecture and standards.
Lead and contribute to dbt projects, ensuring high quality code, thorough documentation, and adherence to modular, scalable design patterns.
Architect, construct, and manage scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.
Lead and participate in development activities; design and implement solutions that address business requirements aligned with program objectives.
Pursue ongoing enhancements of data quality, resilience, governance, efficiency, and monitoring capabilities.
Diagnose and resolve complex system interactions to identify root causes of issues.
Collaborate with the platform lead to design, develop, implement, and deploy new software components for the investment data platform.
Work with the data architect to evaluate and finalize the unified data model.
Coordinate with the integration architect to upgrade and integrate ingestion and delivery tools with the unified data platform.
Upgrade and integrate transformation, data validation, and orchestration tools with the unified data platform to enable data engineering, analytics engineering, and ongoing data maintenance capabilities.
Provide on call support during unexpected outages.

Requirements

Bachelor’s degree in Computer Science or a related discipline.
5 to 6 plus years of experience designing, developing, and delivering data oriented complex applications.
Minimum of 2 to 4 years of hands on experience progressing from SQL to Advanced SQL.
Experience developing and maintaining data models in dbt (Data Build Tool).
Experience in data integration (ETL/ELT), data warehouse, data analytics architecture, and a solid understanding of design principles; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud based PAAS platforms such as Microsoft Azure, Google GCP or Amazon AWS.
Strong understanding of Agile SDLC, DevOps, and Cloud technologies, with exposure to multiple technologies, platforms, and processing environments.
Knowledge of architectures and patterns such as unified data management (UDM), data mesh, event driven architecture, real time data flows, non relational repositories, and data virtualization.
Experience building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions is desired.
Strong interpersonal and communication skills with the ability to lead cross team collaboration and partnerships across a variety of internal and external constituencies.

Technologies

dbt (Data Build Tool)
Snowflake
Microsoft Azure
Google Cloud Platform
Amazon Web Services

What We Are Looking For

Bachelor’s degree in Computer Science or related disciplines.
About five to six years of experience designing, developing, and delivering data oriented complex applications.
At least two to four years of hands on SQL experience, including advanced SQL techniques.
Experience in developing and maintaining dbt data models.
Background in ETL/ELT data integration, data warehousing, and analytics architecture; familiarity with Snowflake and other cloud native databases is highly preferred.
Development experience on cloud PAAS platforms such as Azure, AWS, or Google Cloud.
Strong grasp of Agile SDLC, DevOps, and cloud technologies, with exposure to diverse tech stacks and environments.
Knowledge of architectures like UDM, data mesh, event-driven patterns, real-time data flows, NoSQL stores, and data virtualization.
Experience delivering solutions in the financial services domain with an understanding of instruments, transactions, and positions is a plus.
Excellent collaboration and communication skills to coordinate with multiple internal and external stakeholders.

Preferred Qualifications

Experience within the asset management industry and investment data domain, with exposure to multi asset investment platforms and related data ecosystems.
Understanding of asset management concepts and knowledge of various financial instruments and products, including traditional and alternative asset classes.
Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets and operations are highly valued.
Demonstrated interest in emerging AI technologies and an understanding of how AI driven tools can improve engineering processes, data quality, operational efficiency, and analytics workflows.
Familiarity with leveraging AI assisted development, automation, or data engineering best practices to enhance productivity and continuous improvement initiatives is a plus.

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2d ago

Analytics Engineer - AI Trainer

DataAnnotation Winter Park, FL 🇺🇸 Remote

Winter Park, FL

2d ago

$50 - $100/hr Full time Ai Ml Ai Training Analyst

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Job Description

DataAnnotation is seeking an Analytics Engineer - AI Trainer to join a remote-friendly team focused on improving AI-driven quantitative reasoning. This role centers on evaluating AI-generated analyses for accuracy, designing problems to train and benchmark AI systems, and delivering clear, well-documented feedback to steer the next generation of quantitative AI models. The position offers a flexible schedule and remote work options, with a base connection to Winter Park, Florida.

Responsibilities

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Requirements

2+ years of hands-on experience in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
Bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Technologies

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work.
Competitive pay: projects are paid hourly, up to 60 USD per hour. Opportunities for higher-paying projects are available with strong performance.
Impact: help shape the future of AI systems built to reason about data and analytics.

Compensation

Hourly rate: USD 50 - 100

Note

Payment is made via PayPal. We will never ask for money from you.
This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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3d ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Charlotte, NC

Charlotte, NC

3d ago

$63k - $140k/yr Full time Analytics Business Intelligence Data

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Job Description

The Managed Services Data Engineer - Experienced Associate role supports client engagements within PwC's Data & Analytics practice by designing data driven solutions, building robust data pipelines, and delivering actionable analytics. The position emphasizes collaboration, ongoing learning, and contributing to client work while expanding technical capabilities in a dynamic environment.

Job Details

Location: Charlotte, NC (onsite)

Salary: USD 63,000 - 140,000 per year

Minimum Experience: 1 year

Education: Bachelor's degree

Responsibilities

Develop and implement data driven solutions to optimize performance and competitive positioning, covering data engineering and ETL tasks.
Apply advanced analytics techniques to provide strategic insights and support data informed decision making, including SQL optimization.
Build and maintain data pipelines to enable efficient data collection and analysis, utilizing DataStage.
Create reports and dashboards with business intelligence tools such as Oracle BI and QlikView, drawing on sources like DB2 and SQL Server.
Collaborate with team members to collect and analyze data from multiple sources to identify patterns and trends, employing star schemas and dimension modeling.
Design and maintain robust database structures through data architecture development, including snowflake models.
Participate in continuous process improvement to enhance data quality and integrity.
Support client engagements by listening to diverse perspectives in regulated environments and responding accordingly.
Contribute to the development of business cases and market development strategies through data analysis and interpretation.
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including job scheduling and UNIX tasks.

Requirements

Bachelor's degree
At least 1 year of experience

Technologies

DataStage
Oracle Business Intelligence
QlikView
DB2
SQL Server
SQL
Python
Java
Spotfire
Oracle BI
Snowflake
UNIX

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for at least one of the following fields of study: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering
Proficiency in Python and Java programming languages
Experience with data visualization tools such as QlikView and Spotfire
Developing business intelligence solutions using Oracle BI
Engaging in data architecture development and management
Applying macroeconomic and microeconomic analysis skills
Strong capabilities in data analysis and interpretation

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3d ago

Senior Lead Data Engineer (Enterprise Platforms Technology)

Information Technology Senior Management Forum Plano, TX

Plano, TX

3d ago

$209k - $239k/yr Full time Senior Big Data Cloud Platform

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Job Description

Compensation: USD 209,000 - 238,500 per year. Location: Plano, TX onsite. Education: Bachelor’s Degree. This senior role in enterprise data platforms offers the chance to lead data engineering efforts, ML enabled solutions, and cloud based data warehousing within an Agile environment.

Information Technology Senior Management Forum invites applicants for a Senior Lead Data Engineer who will steer data initiatives across enterprise platforms. The role emphasizes collaboration, mentorship, and ongoing learning through internal and external technology communities. You will contribute to cloud based experiences that empower millions of Americans to achieve financial empowerment.

Responsibilities

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to ensure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Requirements

At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Technologies

Java
Scala
Python
SQL
Open Source RDBMS
NoSQL databases
Redshift
Snowflake
Databricks
Spark
AWS Glue
Kafka
Event Streams
AWS
Microsoft Azure
Google Cloud

Employment Type

Full-time

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4d ago

Data Engineer – Power BI

Intone Networks Remote 🌍 Remote

Remote

4d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Intone Networks offers a remote Data Engineer role focused on Power BI development and data modeling. You will design and optimize dashboards and data models, tune performance, and implement row-level security, collaborating with business stakeholders to translate requirements into actionable analytics. This position is remote and requires 8 to 10 years of hands-on Power BI experience.

Responsibilities

Design, develop, and maintain advanced Power BI reports and dashboards.
Build and optimize complex data models using star and snowflake schemas.
Develop efficient DAX measures, calculated columns, and Power Query (M) transformations.
Collaborate with business stakeholders to gather requirements and deliver analytical solutions.
Optimize report performance and implement row-level security (RLS).

Requirements

8–10 years of experience in Power BI development and data modeling.
Strong expertise in Power BI Desktop, Power BI Service, DAX, Power Query (M), and Data Modeling.
Hands-on experience with SQL and relational databases.
Strong understanding of dimensional modeling (Star Schema/Snowflake Schema).
Experience in performance tuning, report optimization, and Row-Level Security (RLS).
Good analytical, problem-solving, and communication skills.

Technologies

Power BI Desktop
Power BI Service
DAX
Power Query (M)
SQL
Relational databases
Star Schema
Snowflake Schema

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4d ago

Supply Chain Data Engineer

NVIDIA Santa Clara, CA

Santa Clara, CA

4d ago

$152k - $288k/yr Full time Apache Airflow Automation Big Data

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Job Description

Join NVIDIA in Santa Clara as a hands-on Supply Chain Data Engineer. This onsite role offers a competitive compensation range of USD 152,000 – 287,500 per year plus equity, and the opportunity to shape planning decisions at the intersection of forecasting and procurement. You will report to executive leadership and collaborate with modeling, procurement, operations, and IT teams to turn data into strategic action. Expect a role that values practical data engineering, strong data governance, and cross-functional partnership in a fast-paced, high-impact environment.

Benefits

Equity

Responsibilities

Design, implement, and scale automated data pipelines using SQL and Python to extract, transform, and load large supply chain datasets from internal and external systems.
Guard data quality as the primary custodian by building automated validation scripts to catch anomalies, missing inputs, and historical mismatches before data enters planning frameworks.
Develop and improve automated pipelines feeding downstream machine learning and AI models, ensuring data is clean, low-latency, and ready for advanced computation.
Architect and maintain highly optimized data tables, views, and schemas tailored for rapid querying by unified computational systems.
Collaborate to deconstruct legacy, decentralized planning workflows and migrate them to automated, centralized data environments that link forecasting to procurement.
Work cross-functionally with engineering, global procurement, operations, and IT to uncover hidden data sources and standardize core supply chain metrics.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.
Expert data engineering skills with mastery of SQL and Python, including data manipulation with Pandas.
7+ years of data pipeline experience, with a proven track record of building and operating automated ETL/ELT pipelines in production.
Deep experience with relational databases, data warehouses (Snowflake, BigQuery), or large ERP systems (SAP or Oracle).
Extreme attention to detail and a strong focus on data integrity; you proactively identify and fix issues in large datasets.
High autonomy and comfort starting from loose guidelines to deliver robust, production-ready data pipelines from scratch.

Technologies

SQL
Python
Pandas
Snowflake
BigQuery
SAP
Oracle
Apache Airflow
dbt
AWS
Azure
GCP
MATLAB

Ways to stand out from the crowd

Prior experience building data infrastructure within the semiconductor, electronics, or large-scale technology hardware supply chains.
Background with mathematical modeling environments, advanced computation engines, or algorithmic simulation software such as MATLAB or advanced Python packages.
Familiarity with workflow orchestration tools like Apache Airflow or dbt, or infrastructure used to support Machine Learning pipelines (DataOps).
Experience cloud-architecting supply chain master data on AWS, Azure, or GCP.