Dataviz

Dataviz Engineer Jobs

27 jobs found

1d ago

Modeling and Simulation Engineer - Data Analytics

Northrop Grumman San Diego, CA

San Diego, CA

1d ago

$92k - $138k/yr Full time Analyst Analytics Big Data

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Job Description

This onsite role, Modeling and Simulation Engineer - Data Analytics, is based in San Diego, CA, and focuses on designing data mining pipelines, performing statistical analyses, building dashboards, and supporting data-driven decision making within the Triton Enterprise Sustainment Systems Engineering program for Northrop Grumman Aeronautics Systems.

Responsibilities

Data Architecture & Modeling – Design scalable data mining pipelines, establish ingestion, cleaning, transformation, and storage protocols, and evolve models to capture long term trends to support real-time analytics.
Statistical Insight – Conduct exploratory data analysis, hypothesis testing, and advanced statistical modeling to identify key drivers across heterogeneous data sources.
Visualization & Reporting – Develop interactive dashboards and reports using tools such as MATLAB, Tableau, Power BI, and Plotly to communicate insights to both technical and non-technical stakeholders.
Cross Functional Collaboration – Partner with engineering, operations, and business units to define problem statements, translate requirements into analytical solutions, and integrate findings into product roadmaps.
Innovation & Knowledge Leadership – Stay current with cutting edge data science methodologies including deep learning and reinforcement learning, assess their relevance to defense contexts, mentor teams, and promote a data-driven decision making culture.
Governance & Quality – Establish data governance standards, data quality metrics, and reproducibility practices across the analytics lifecycle.

Requirements

Bachelor of Science in a STEM field with at least 2 years of relevant military or professional experience, OR a Master’s Degree in a STEM field with some relevant military, professional, or academic experience.
Bachelor of Science in a STEM field with at least 5 years of relevant military or professional experience, OR a Master’s Degree in a STEM field with at least 3 years of experience, OR a PhD with at least 1 year of relevant military, professional, or academic experience.
Active US Government Secret or higher clearance with a background investigation completed within the last 6 years or currently enrolled in Continuous Evaluation.
Ability to obtain and maintain Special Access Program (SAP) clearance within a timeframe determined by business needs.
Experience ingesting, processing, storing, analyzing, and visualizing large data sets.

Technologies

MATLAB
Tableau
Power BI
Plotly
Python
SQL
.DAT file decoding

Benefits

Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
PTO for vacation and/or personal business
Annual bonuses
Long Term Incentives
Discretionary bonus

Relocation Assistance

Relocation assistance may be available

Clearance Required for Start

Yes

Clearance Type

Secret

Travel

Yes, 10% of the Time

Salary

Primary level salary range: $91,800.00 - $137,600.00 per year

Secondary level salary range: $114,000.00 - $171,000.00 per year

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5d ago

Data Engineer

Texas Instruments Dallas, TX

Dallas, TX

5d ago

Full time Analytics Business Analytics Business Intelligence

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Job Description

Texas Instruments seeks a Data Engineer in Dallas to support data analytics, ETL pipelines, and software development for advanced manufacturing operations.

Responsibilities

Analyze complex operational challenges across multiple stakeholders to drive optimal solutions in a dynamic manufacturing environment.
Collaborate with stakeholders to provision data that informs decision making and analytics.
Create data visualizations for internal and external customers.
Develop and maintain server side ETL pipelines and custom databases.
Design and implement data transformation algorithms.
Troubleshoot system interruptions and implement hardening measures to prevent recurrence.
Communicate effectively across functions, hierarchies, and diverse cultural contexts.
Assess emerging technologies and software solutions relevant to semiconductor manufacturing, then integrate them into operations with Lights Out manufacturing in mind.
Apply strong manufacturing process knowledge to data initiatives.
Automate data extraction and manufacturing workflows.
Perform operation performance analysis to support data driven decision making.
Collect and validate operational performance data using analytic methods on automation and system logs to assess process impact.
Extract critical production data from databases to analyze manufacturing impact.
Analyze large datasets and maintain data integrity across systems.
Demonstrate solid project management skills to drive initiatives to completion.
Design and develop software solutions that significantly improve operational efficiency.

Requirements

Bachelor's degree in System Engineering, Computer Science, Data Science, Information Systems, or a closely related field; other engineering majors considered with demonstrated strong software development experience.
At least 3 years of relevant Data Engineer experience in the semiconductor industry or high tech manufacturing sector.
Proficiency in one or more programming languages such as Python, Java, or C++.
Strong SQL query skills.
Experience with data visualization platforms.
Ability to work in a clean room environment while wearing a smock.

Technologies

Python
Java
C++
SQL
Spotfire
Tableau
Power BI
Denodo
Linux
Git
Semiconductor MES

Unique selling features

Join the top TI North Texas 300mm industrial engineering and advanced data analytics team in a cutting edge environment with strong growth potential.
Opportunities to acquire new skills and receive mentorship from industry leaders.
Engage in creative problem solving to address complex, dynamic manufacturing challenges.

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8d ago

Data Engineer Senior - Level 3

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

8d ago

Full time Senior Analytics Big Data

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Job Description

Senior Data Engineer - Level 3 for Lockheed Martin Aeronautics in Fort Worth, TX, with a hybrid work arrangement. This role focuses on transforming data into mission-critical insights and delivering data products and models to support spares, repairs, and long-term sustainment decisions for the IFG Sustainment Program.

Responsibilities

Scope and consolidate data from diverse internal and external sources to support spares modeling and performance metrics.
Analyze data and apply logical methods to develop supply chain models that guide strategic decision-making.
Collaborate closely with the F-22 Sustainment Program Office (SPO) and key stakeholders to align data initiatives with fleet performance goals.
Deliver both repeatable and ad hoc reports to senior leadership, offering insights that drive tangible results.
Champion performance-based supply analysis and visualization efforts to optimize operations and reduce costs.
Partner across engineering, logistics, and analytics teams to ensure data accuracy, consistency, and relevance.

Requirements

Experience with Databricks, SAP HANA, Oracle, or SQL Server, including relational database principles and SQL variants (SQLScript, PL/SQL, Transact-SQL) in support of Procedures, Functions, and Views; familiarity with ETL and data warehousing principles.
Experience with Tableau, IBM Cognos, or other data visualization tools.
Experience with data mining and cleansing, recognizing and correcting errors/discrepancies and ensuring data accuracy, consistency, and completeness.
Experience with problem solving and troubleshooting/resolving complex technical issues.

Technologies

Databricks
SAP HANA
Oracle
SQL Server
SQL
SQLScript
PL/SQL
Transact-SQL
Tableau
IBM Cognos
Python
VBA
GOLD
SAP (ERP)
PRIDE

Benefits

Flexible schedules, dependent on role
Competitive pay
Comprehensive benefits
Part-time Remote Telework

Security Clearance

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level

Secret

Location

Fort Worth, TX (hybrid)

Other Important Information You Should Know

Location: This position is in Fort Worth, TX.
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. If a match is identified, you may be contacted for these openings.
Ability to Work Remotely: Part-time Remote Telework. The employee selected for this position will work part of their schedule remotely and part of their schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility. Schedules range from standard 40 hours over a five-day work week to condensed schedules that provide additional time away from the office.
Schedule for this Position: 4x10 hour day, 3 days off per week.
Equality: Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
Application Window: The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date to receive optimal consideration.

Experience Level

Experienced Professional

Business Unit

AERONAUTICS COMPANY

Career Area

Logistics

Type

Full-Time

Shift

First

Relocation Available

Possible

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9d ago

Senior AWS Redshift Data Engineer (Contract | 1099)

Braintrust Seattle, WA

Seattle, WA

9d ago

$140 - $173/hr Contract Amazon Web Services Analytics Big Data

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Job Description

Senior AWS Redshift Data Engineer on a 1099 contract through year-end at Braintrust in Seattle, WA (onsite), focusing on optimizing the AWS Redshift environment and data infrastructure.

Responsibilities

Optimize and maintain large-scale AWS Redshift clusters and data warehouse performance (60%)
Improve and support ETL pipelines using Kafka and ECS jobs (30%)
Enhance BI performance and data availability for reporting tools such as Looker (10%)
Prepare and expose data for AI enabled applications and MCPs
Collaborate closely with the data engineering and BI teams

Requirements

7–10 years of experience in data engineering, database administration, or related roles
Must be based in the United States
Extensive experience optimizing AWS Redshift clusters, including environments with hundreds of terabytes of data
Strong experience tuning, repairing, and maintaining heavily queried and frequently updated Redshift tables
Experience configuring and managing Kafka streams
Experience with Looker or a similar BI platform
Familiarity with Python and/or AI enabled data workflows is a strong plus

Technologies

AWS Redshift
Kafka
ECS
Looker
Python

Contract Type

1099 contract; 35 hours per week

Duration

Through the end of the year; expected start in July

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11d ago

BI Developer/Analytics Engineer

Speed Express Montebello, CA

Montebello, CA

11d ago

$95k+/yr Full time Analytics Business Analytics Business Intelligence

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Job Description

Speed Express is seeking a BI Developer / Analytics Engineer to design, develop, and maintain enterprise reporting and analytics solutions in Montebello, California. The role centers on transforming raw data into actionable business insights through close collaboration with analysts and data engineering teams to build dashboards, semantic models, data marts, and self-service reporting.

Responsibilities

Improve dashboard performance, data refresh efficiency, and query execution times
Troubleshoot reporting and data performance issues
Ensure scalability and maintainability of BI solutions

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or related field
3+ years of experience in BI development, analytics engineering, or business intelligence solutions
Proven ability to develop dashboards and enterprise reporting solutions
Advanced SQL skills with experience optimizing analytical queries
Experience with dimensional modeling and data warehousing concepts
Strong analytical, problem-solving, and communication skills
Experience with Power BI and/or Tableau
Web-based dashboard development and self-service reporting platforms
Experience with SQL, dimensional modeling, data marts, semantic/business modeling, and KPI/metrics design

Technologies

Power BI
Tableau
SQL
dbt

Benefits

401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Parental leave
Vision insurance

Governance and Standards

Standardize metrics and reporting definitions across departments
Maintain data accuracy, consistency, and reporting quality standards
Implement BI development best practices and documentation standards
Support user acceptance testing (UAT) and dashboard validation activities

Collaboration and Support

Work closely with Business Analysts and stakeholders to understand reporting requirements and business processes
Partner with data engineers to ensure reliable and high-quality data pipelines
Provide support and enhancements for existing dashboards and reporting solutions
Train and support business users on self-service reporting capabilities

Preferred Additional Skills

Experience with data warehouse or lakehouse environments
Familiarity with dbt or analytics engineering workflows
Knowledge of ETL/ELT processes
Experience with DAX, Tableau calculations, or similar analytical languages
Understanding of data governance and reporting standards

Preferred Qualifications

Experience supporting enterprise BI environments
Experience working with cross-functional business teams
Familiarity with cloud-based analytics platforms
Experience with performance tuning for large-scale reporting environments
Understanding of financial, operational, or executive reporting

Key Competencies

Business intelligence development
Data visualization and storytelling
Analytical thinking
Data modeling and KPI design
Attention to detail and data accuracy
Cross-functional collaboration
Problem-solving and performance optimization

Equal Employment Opportunity

Pay: From $95,000 per year

Application Question

Will you require sponsorship from the company?

Language

Mandarin is required

Work Location

Onsite in Montebello, CA

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12d ago

Principal / Sr Principal Data Analytics Engineer

Northrop Grumman Melbourne, FL

Melbourne, FL

12d ago

$98k - $184k/yr Full time Senior Analytics Apache Airflow

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Job Description

Northrop Grumman is seeking a Principal / Senior Principal Data Analytics Engineer for a hybrid role based in Melbourne, Florida. This position focuses on designing and building automated end-to-end ETL pipelines and analytics solutions, collaborating with stakeholders to advance analytics capabilities and deliver impactful insights in a complex, cross-functional environment.

Responsibilities

Architect, develop, and maintain scalable data pipelines and ETL processes across multiple data sources.
Design and optimize analytics-ready data models, including star, snowflake, and data vault schemas for reporting.
Establish robust data quality, validation, and monitoring frameworks to ensure the reliability of downstream insights.
Collaborate with data scientists, product managers, and business stakeholders to translate analytical requirements into technical specifications.
Create reusable, documented analytics code libraries and SDKs to accelerate self-service analytics.
Institute practices in version control, testing, and CI/CD for data workflows.
Evaluate emerging data technologies and recommend improvements to the analytics stack.
Ensure compliance with data governance, security, and privacy policies, including GDPR and CCPA.
Develop and maintain Tableau dashboards, KPI scorecards, and ad-hoc querying tools for executive and operational audiences.

Requirements

Bachelor’s degree in a STEM field with 5 years of experience in data engineering, analytics engineering, or a related field, OR Master’s degree with 3 years of experience in data engineering, analytics engineering, or a related field.
Bachelor’s degree in a STEM field with 8 years of experience in data engineering, analytics engineering, or a related field, OR Master’s degree with 6 years of experience in data engineering, analytics engineering, or a related field.
Strong proficiency in SQL and Python.
Proficiency developing and deploying Tableau dashboards and translating business needs into visual insights.
Experience with version control and Agile software development.
Strong problem-solving skills, attention to detail, and ability to work in fast-paced, cross-functional teams.
Excellent written and verbal communication skills to convey technical concepts to non-technical stakeholders.
Active US Government Secret clearance required to apply, with ability to obtain Special Access Program (SAP) clearances.

Technologies

SQL
Python
Tableau
Airflow
dbt
Dagster
Prefect
Databricks
Denodo
Snowflake

Benefits

Overtime eligibility
Shift differential
Discretionary bonus
Annual bonuses
Long Term Incentives
Health insurance coverage
Life and disability insurance
Savings plan
Company paid holidays
Paid time off (PTO)

Relocation

Relocation assistance may be available

Clearance

Clearance for start: Yes
Clearance type: Secret

Travel

Travel: Yes, 10% of the time

Compensation ranges

Primary level salary range: $98,400.00 - $147,600.00
Secondary level salary range: $122,800.00 - $184,200.00

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12d ago

BI Software Engineer I

Penske Truck Leasing and Logistics Reading, PA

Reading, PA

12d ago

Full time Analytics APIs Business Analytics

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Job Description

Based in Reading, Pennsylvania and onsite, this BI Software Engineer I role sits at the intersection of data insight and enterprise systems. You will design, develop, and support BI applications while guiding associate engineers in BI best practices, helping to deliver innovative solutions for a broad set of stakeholders within Penske Truck Leasing and Logistics.

What you will be doing

Participate in all phases of the BI software development lifecycle by supporting ongoing efforts, troubleshooting issues as they arise, and delivering new modules across multiple small to mid-size projects.
Lead the design of selected software components and propose new frameworks, applications, and features driven by industry trends.
Consult with process owners to review requirements and translate them into effective systems.
Support integration efforts to merge BI platforms with enterprise systems and applications.
Collaborate with a diverse team and mentor junior BI software engineers.
Serve as the primary contact and lead support for multiple BI applications.
Play a key role in supporting the application lifecycle from design through testing, release, and ongoing support under direction from senior BI engineers and leads.
Work with technical and business leaders and product owners to capture requirements and acceptance criteria.
Develop and maintain a variety of reports, dashboards, and visualizations, and design BI applications that connect to databases and data warehouses.
Analyze data to identify discrepancies and performance bottlenecks and apply data modeling techniques to enable actionable insights.
Contribute to data-driven decision making by translating data into analytical solutions and recommendations.
Support mission-critical applications, assist in resolving customer issues, and produce clean, well-documented code adhering to coding standards.
Triage production issues and collaborate with multiple teams to analyze and resolve problems.
Assign and review work for junior and offshore BI engineers and participate in new hire interviews.
Influence the discovery and decision-making process when changes to standards, tools, conventions, and design patterns are required.
Provide business support by addressing user questions, concerns, and implementation feasibility discussions.
Communicate status and issues to team members and stakeholders, working with project teams and cross-functional teams to ensure timely delivery and smooth hand-offs.
Ensure solutions are sustainable across implementations and use, troubleshoot open issues, perform bug fixes, and maintain on-time delivery.

Penske responsibilities

Act as the primary contact and lead support for multiple BI applications.
Play a critical role across the application lifecycle, guided by senior BI engineers and leads, including design, development, testing, release, and support.
Collaborate with technical and business leaders and product owners to gather requirements and acceptance criteria.
Develop and maintain reports, dashboards, and visualizations to support data analysis.
Design BI applications with integration to databases and data warehouses, and support enterprise-wide BI platform integrations.
Analyze data for discrepancies and performance issues and apply data modeling methods to enable data-driven decisions.
Provide support for mission-critical applications and assist in resolving customer issues.
Deliver clean, maintainable code that aligns with coding standards and best practices.
Triage production issues and coordinate problem analysis with multiple teams.
Assign and review work for junior and offshore BI engineers and participate in new hire interviews.
Influence standards and technology choices, including tools, conventions, and design patterns.
Respond to user questions and issues with feasible technical and implementation guidance.
Communicate status and issues to team members and stakeholders, ensuring collaboration across project teams.
Ensure long-term sustainability of solutions and manage on-time delivery and hand-offs.

Penske qualifications

Bachelor’s Degree in Computer Science, Computer Engineering, or equivalent software development experience.
5-7 years of technology experience.
4+ years of hands-on BI application development using tools such as Qlik Sense, Power BI, Tableau, or similar.
Experience with the full BI software development lifecycle.
Proficiency in Java, React, Angular, jQuery, HTML, JavaScript, CSS, APIs, and web services.
Familiarity with UI/UX design frameworks and patterns.
Experience in relational database design, implementation, and data modeling techniques.
Understanding of big data analytics and reporting, with exposure to cloud environments such as AWS.
Experience with data-driven testing approaches and analytical methods, including regression models and advanced analytics software.
Knowledge of technical project management and BI design frameworks and patterns.
Awareness of industry-wide technology strategies and best practices.
Experience with Agile methodology and strong troubleshooting abilities.
Ability to research emerging software development frameworks and tools, and estimate medium to large projects.
Excellent communication and interpersonal skills.