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Python Data Engineer Jobs

Form Energy

FirstEnergy

Synopsys

Onsite

Hybrid

Form Energy, Inc

Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing -  might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better.Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place.<h2>Role Description</h2>The Factory Software team is seeking a Data Analytics Engineer to bridge the gap between complex manufacturing data and actionable insights. In this role, you will be responsible for the development and ownership of the reporting, dashboards, and Business Intelligence (BI) infrastructure that powers our factory operations. You will function as a key partner to our Factory teams, ensuring they have the high-quality, real-time data needed to optimize production and ensure manufacturing excellence. You will collaborate closely with Factory Software Dev, Data Engineering and Platform teams to leverage our on-prem and cloud infrastructure, building scalable solutions that enable a data-driven culture on the factory floor. This opportunity is based out of Form Factory 1 – Form Energy’s 550,000-square-foot, state-of-the-art manufacturing facility located in Weirton, WV, a commutable distance from Pittsburgh. Purpose-built for high-volume, advanced battery production, Form Factory 1 is a hub of fast-moving, collaborative work driving a new era of large-scale American energy manufacturing in the heart of the Rust Belt.Relocation assistance is available. <h3>What you'll do:</h3><ul style="min-height:1.5em"><li>Design, develop, and maintain automated reporting and interactive dashboards to provide critical visibility into factory performance and operational metrics.</li><li>Own the Business Intelligence (BI) space for the Factory Software team, acting as the primary point of contact for data requests and insights from factory stakeholders.</li><li>Collaborate with Factory teams to understand their workflows and translate complex business requirements into technical data solutions and visualizations.</li><li>Build and optimize data models and transformations (e.g., using SQL and Python) to ensure factory data is structured for efficient reporting and analysis.</li><li>Establish and maintain standards for data quality, documentation, and dashboard performance to ensure "one version of the truth" across the manufacturing organization.</li><li>Proactively seek opportunities to improve data accessibility and provide technical support/training to internal users on self-service BI tools.</li><li>Liaise between manufacturing end-users and the broader Software team to drive the continuous improvement of our data systems and infrastructure.</li></ul><h3>What you'll bring:</h3><ul style="min-height:1.5em"><li>4+ years industry experience writing reusable code for data analysis</li><li>Experience using SQL and Python in a collaborative environment</li><li>Experience with exploratory and explanatory analysis of data from physical systems</li><li>Must have strong communication skills, both written and verbal, capable of relaying technical information to non-technical stakeholders</li><li>Must be able to work independently with excellent time management, multi-tasking and the ability to assess and prioritize competing demands</li><li>Bachelor's Degree in related field Computer Science, Data Engineering or equivalent work experience</li><li>Experience in a manufacturing, warehouse or logistics environment working with software systems and end-users to support production operations is highly desirable</li><li>Experience collaborating with a variety of stakeholders (e.g. Engineering, Operations, and Software)</li><li>Experience with Jira is a plus</li><li>Desire to learn and grow professionally in a fast-paced, startup environment</li></ul>#LI-OnsiteHumanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.

Senior Data Analytics Engineer, Factory Software

Data Analytics Engineer

4+ years of data analysis experience; strong SQL and Python; manufacturing data experience; excellent communication; ability to work independently.

Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form! In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia. Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing -  might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better.Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place.<h2>Role Description</h2>We are seeking a Process Engineer to join our world-class Operations Sustaining team. Our Operations Sustaining Team is a cross-disciplinary group of experts in Mechanical, Process, and Manufacturing engineering. Together, we’re responsible for sustaining, developing, and improving our cutting-edge manufacturing processes for Form Energy’s Iron-Air multi-day battery. This role sits at the intersection of data engineering and process engineering. You will be responsible for providing data analytics and custom data views in support of manufacturing operations for electrode, cell, and final battery assembly. You will work with data engineering partners within Form’s Platform and Factory Software teams, as well as process engineers and supervisors within manufacturing. You will use your strong background in data and process engineering within an industrial environment to integrate, share, and deepen process data systems for our first of a kind manufacturing facility. This is an exciting opportunity to help shape and be part of the growth of a fast-moving company with breakthrough technology and an incredible mission! This opportunity is based out of Form Factory 1 – Form Energy’s 550,000-square-foot, state-of-the-art manufacturing facility located in Weirton, WV, a commutable distance from Pittsburgh. Purpose-built for high-volume, advanced battery production, Form Factory 1 is a hub of fast-moving, collaborative work driving a new era of large-scale American energy manufacturing in the heart of the Rust Belt.Relocation assistance is available. <h3>What you'll do:</h3><ul style="min-height:1.5em"><li>Conduct in-depth analysis of process data to identify patterns, correlations, and trends that impact production line performance.</li><li>Use statistical methods to provide insights that drive improvements in Key Performance Indicators (KPIs) such as output, yield, and quality.</li><li>Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels.</li><li>Utilize data from MES, SCADA and cloud databases to generate reports and provide insights for decision making.</li><li>Collaborate with cross-functional teams to continuously refine and optimize manufacturing processes.</li><li>Utilize data-driven approaches to recommend process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.</li><li>Work lineside to validate MES/ERP systems, ensuring data integrity from the process to storage in databases, and documenting the full data cycle from collection to utilization.</li></ul><h3>What you'll bring:</h3><ul style="min-height:1.5em"><li>Bachelor’s or Master’s degree in Engineering, Data Science, Computer Science, or a related field.</li><li>2+ years of experience in a fast-paced manufacturing or production development environment.</li><li>Proficiency in SQL, Python, R, or other data analysis tools.</li><li>Experience in data analysis, statistical analysis, and process optimization.</li><li>Hands-on experience with production line data collection and analysis.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills.</li><li>Experience working with SCADA, MES, and/or Industrial IoT systems is highly desirable but not required.</li></ul>#LI-Onsite#LI-LN1Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here. When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full-time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed. To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs. If you may require reasonable accommodations to participate in our interview process, please contact accommodations@formenergy.com. Requests for accommodations will be treated with discretion. Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.

Process Engineer II, Data Optimization

Process Engineer

Develop data analytics and dashboards to support manufacturing operations; strong data and process engineering in an industrial setting; SQL/Python/R experience.

FirstEnergy at a Glance &nbsp;
 &nbsp;
We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers’ lives brighter, the environment better and our communities stronger.  &nbsp;
 &nbsp;
FirstEnergy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts.  &nbsp;
 &nbsp;
About the Opportunity  &nbsp;
 &nbsp;
This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [FEU]. 
 The&nbsp;position&nbsp;is&nbsp;within Construction &amp; Design Services and&nbsp;reports&nbsp;to&nbsp;the Supervisor or Reporting and Metrics in Program Support within the Construction and Design Services(C&amp;DS) organization.&nbsp;&nbsp;It&nbsp;can&nbsp;be located throughout the service territory and will be considered an in-office position.
&nbsp;
This&nbsp;position&nbsp;will&nbsp;analyze complex business needs&nbsp;related to C&amp;DS project&nbsp;data&nbsp;and&nbsp;answer critical&nbsp;questions with&nbsp;a&nbsp;focus on C&amp;DS key priorities and business initiatives.&nbsp;This position will&nbsp;generate and test hypotheses, create, explore and analyze datasets, develop data pipelines, create &amp;&nbsp;enhance reporting solutions, and build accurate predictive and prescriptive data models to understand trends and produce actionable insights across our business.
Additionally, this&nbsp;position will&nbsp;work&nbsp;across C&amp;DS&nbsp;to&nbsp;understand report&nbsp;and&nbsp;data&nbsp;needs&nbsp;and&nbsp;build&nbsp;solutions to&nbsp;support daily operations and ensure data governance.&nbsp;This position requires expertise in common business intelligence and visualization tools such as Power BI.
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The successful candidate will have strong communication and consultation skills to&nbsp;understand business needs across the organization. Ability to translate data into meaningful business models and visuals that utilize internal and external data sources that transform data into information, information into actionable insights and insights into&nbsp;business decisions.&nbsp;The&nbsp;selected candidate should&nbsp;have&nbsp;a&nbsp;strong eye for&nbsp;design&nbsp;and&nbsp;visuals and be&nbsp;willing or&nbsp;experienced to work in an agile methodology.
&nbsp;
Responsibilities Include:
<ul>
 <li>Understanding&nbsp;of&nbsp;business&nbsp;and&nbsp;technology&nbsp;organizations,&nbsp;resources,&nbsp;priorities,&nbsp;needs,&nbsp;and&nbsp;policies.</li>
 <li>Forge relationships with C&amp;DS&nbsp;business teams to&nbsp;develop customized business tools, visualizations and predictive and prescriptive models that continuously improve the execution of the capital portfolio. &nbsp;</li>
 <li>Ensure appropriate measurement points and values are established.&nbsp;</li>
 <li>Collaborate with IT, C&amp;DS Systems, Data Governance and business stakeholders to streamline access and build customized products.</li>
 <li>Work closely with IT and respective business owners to establish permissions to access other enterprise or domain data for reporting / visualization purposes.</li>
 <li>Developing predictive and prescriptive models using statistical techniques, software, and machine learning algorithms to forecast future trends and outcomes.</li>
 <li>Respond&nbsp;to&nbsp;ad-hoc&nbsp;reports/data&nbsp;requests&nbsp;from&nbsp;internal&nbsp;and&nbsp;external&nbsp;sources.</li>
 <li>Develop&nbsp;reports&nbsp;using platforms such as&nbsp;Oracle&nbsp;BIP, Toad Database, RapidMiner, Python, and&nbsp;other tools&nbsp;such&nbsp;as&nbsp;Power&nbsp;Bl</li>
 <li>Participate&nbsp;in&nbsp;periodic release&nbsp;process&nbsp;regression&nbsp;testing&nbsp;as&nbsp;needed.</li>
 <li>Build&nbsp;and&nbsp;maintain data&nbsp;models&nbsp;to&nbsp;enable&nbsp;and&nbsp;improve&nbsp;data-driven&nbsp;decision-making.</li>
 <li>Mine&nbsp;complex&nbsp;data sets&nbsp;to&nbsp;identify&nbsp;patterns&nbsp;and&nbsp;trends.</li>
 <li>&nbsp;Advise&nbsp;and&nbsp;consult with&nbsp;C&amp;DS&nbsp;and&nbsp;business stakeholders&nbsp;to&nbsp;review, refine,&nbsp;and&nbsp;improve business processes and practices based on an understanding of data.</li>
 <li>Support data governance structure and adherence.</li>
 <li>Help&nbsp;drive&nbsp;the&nbsp;use&nbsp;of&nbsp;data warehouses&nbsp;for&nbsp;insights&nbsp;and&nbsp;predictive&nbsp;analytics.</li>
</ul>
Qualifications include:
<ul>
 <li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 10 years of relevant work experience.</li>
 <li>Relevant&nbsp;work&nbsp;experience includes&nbsp;business&nbsp;strategy, project / construction management or engineering.&nbsp; Specific experience in business analytics reporting &amp; visualizations is essential.</li>
 <li>Demonstrated proficiency in&nbsp;processing, manipulating, and&nbsp;generating insight&nbsp;from&nbsp;large&nbsp;data&nbsp;sets&nbsp;of structured and unstructured data.</li>
 <li>Experience&nbsp;in&nbsp;the&nbsp;implementation&nbsp;of&nbsp;complex&nbsp;programs&nbsp;and&nbsp;projects.</li>
 <li>Knowledge of statistical methods, predictive modeling techniques, and data mining algorithms is highly valuable.</li>
 <li>Understanding&nbsp;of&nbsp;statistical&nbsp;analysis&nbsp;to&nbsp;ensure&nbsp;metrics&nbsp;are&nbsp;accurate&nbsp;and&nbsp;meaningful.</li>
 <li>
 Proficiency in programming languages such as Python, R, or SQL. 
 &nbsp;
 &nbsp;
 FirstEnergy takes a market-based approach to pay, which may vary depending on your location.&nbsp; In addition, your actual base salary will depend on various factors such as your skills, qualifications, and experience.
 The estimated pay range for this role is $111,350-$157,200.&nbsp; The pay range for certain locations, including the state of New Jersey, include a 20% differential to account for an increased cost of living, making the pay range $133,620 - $188,640. 
 &nbsp;</li>
</ul>
Benefits, Compensation &amp; Workforce Diversity   &nbsp;
 &nbsp;
At FirstEnergy, employees are key to our success. We depend on their talents to meet the challenges of our changing business environment. We are committed to rewarding individual and team efforts through our total rewards philosophy which includes competitive pay plus incentive compensation, a company-sponsored pension plan, 401(k) savings plan with matching employer contribution, a choice of medical, prescription drug, dental, vision, and life insurance programs, as well as skills development training with tuition reimbursement. Please visit our website at www.firstenergycorp.com to learn more about all of our employee rewards programs. FirstEnergy proudly supports workforce diversity. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with a disability. No recruiters or agencies without a previously signed contract. Unable to sponsor or transfer H-1B visas at this time.   &nbsp;
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Safety   &nbsp;
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Safety is a core value for FirstEnergy and is essential to all of our business activities. We ensure employees have the tools, information, and processes to perform their duties in a manner that assures safety for themselves, their co-workers, our customers and the public. Our goals are to provide a safe work environment, to maintain an accident-free, injury-free workplace, and to promote and maintain public safety. To meet these goals, we dedicate ourselves to achieving world-class safety standards.

Senior Data Analyst

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 10 years of relevant work experience. Proficiency in Python, R, or SQL; experience in BI tools and data modeling.

Introduction: We Are: Drive technology innovations that shape the way we live and connect. Our technology drives the Era of Pervasive Intelligence, where smart tech and AI are seamlessly woven into daily life. From self-driving cars and health-monitoring smartwatches to renewable energy systems that efficiently distribute clean power, Synopsys creates high-performance silicon chips that help build a healthier, safer, and more sustainable world.
Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide—and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path. Join us and start shaping your future today!
Mission Statement: Our mission is to fuel today’s innovations and spark tomorrow’s creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive—both at work and beyond.
What You’ll Be Doing:
Engage in cutting-edge research at the intersection of deep learning, scientific computing, and foundation models for physics applications.
Contribute to the development of Large Physics Foundation Models (LPFMs) by exploring novel architectures and innovative training strategies.
Build and curate large-scale physics datasets, and design the infrastructure needed to support data-driven AI research in the physical sciences.
Collaborate closely with cross-functional teams of researchers and engineers, sharing your ideas and learning from leading experts in the field.
Present findings, participate in knowledge-sharing sessions, and help shape the direction of AI for the physical sciences.

What You’ll Need:
Currently pursuing a Master's or PhD degree in Physics, Computer Science, Engineering, or a related field.
Strong passion for applying AI and deep learning to scientific or physics-based problems.
Experience with scientific computing, machine learning frameworks, and large-scale data management.
Excellent problem-solving, communication, and collaboration skills.
Self-motivated, creative, and eager to contribute to high-impact research and engineering projects.

Key Program Facts:
Program Length: 3 months
Location: United States
Working Model: Remote or in-office
Full-Time/Part-Time: Full-time
Start Date: May / June 2026

Equal Opportunity Statement: Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws. If you need assistance or a reasonable accommodation during the application process, please reach out to us.

Intern (Technical-Engineering) -  17256

Intern

Pursuing Master’s or PhD in Physics, Computer Science, or Engineering; strong interest in AI for scientific applications; experience with ML frameworks and large-scale data; good communication and collaboration.

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