senior data engineer

Parallels

<div><p><b>Senior Data Engineer</b></p><p><i>
Parallels has an immediate vacancy for this position.</i></p><p>
Push the boundaries of tech. In your sweatpants.</p><p>
We&rsquo;re looking for an experienced Senior Data Engineer to help us change how the world works. Here, you&rsquo;ll be part of our Data Engineering &amp; Analytics team, supporting cross-functional groups around the world. The right candidate will develop, review, and maintain data infrastructure and various data flows. You will also develop means to ensure continuous data validation and telemetry for all data processes.</p><p>
The top creative and technical minds could work <i>anywhere. </i>So why are so many of them choosing Parallels? Here are three reasons:</p><ul><li><b>
This is the moment. </b>It&rsquo;s an exciting time at Parallels, with new leadership, a refreshed brand (you probably know us as Corel!), and a whole new approach to changing the way the world works. We&rsquo;re at the forefront of a movement, and we want you to ride this wave with us.</li><li><b>
We want </b><b><i>you </i></b><b>to be </b><b><i>you</i></b><b>. </b>Too often, companies tell you about their culture and then expect you to fit it. Our culture is built from the people who work here. We want you to feel safe to be who you are, take risks, and show us what you&rsquo;ve got.</li><li><b>
It&rsquo;s your world. </b>We know you have a life. We want to be part of it, but not all of it. At Parallels, we&rsquo;re serious about empowering people to work when, how, and where they want. Couch? Sweatpants? Cool with us. We believe that happy employees mean happy customers. That&rsquo;s why we hire amazing people and get out of their way.</li></ul><p>
Sound good so far? <i>Awesome. </i>Let&rsquo;s talk more about the Senior Data Engineer role and see if we&rsquo;re destined to be together.</p><p><b>
As a Senior Data Engineer, you will:</b></p><ul><li>
Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse</li><li>
Build and implement ETL frameworks to improve code quality and reliability</li><li>
Build and enforce common design patterns to increase code maintainability</li><li>
Ensure accuracy and consistency of data processing, results, and reporting</li><li>
Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning</li><li>
Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources</li><li>
Guide and mentor other Data Engineers as a technical owner of parts of the data platform</li></ul><p><b>
What YOU bring to the team:</b></p><ul><li>
Expert knowledge of Python</li><li>
Expert knowledge of SQL</li><li>
Experience with DevOps mode of work</li><li>
7+ years of professional experience</li><li>
5+ years of experience working in data engineering, business intelligence, or a similar role</li><li>
5+ years of experience in ETL orchestration and workflow management tools like Airflow, flink, etc. using AWS/GCP</li><li>
3+ years of experience with the distributed data processing tools like Spark, Presto, etc. and streaming technologies such as Kafka/Flink</li><li>
3+ years of experience with SnowFlake (preferred) or another big data database platform</li><li>
3+ years of experience with cloud service providers: Amazon AWS (preferred), or one of the other major clouds</li><li>
Expertise with containerization orchestration engines (Kubernetes)</li><li>
MS in Computer Science, Software Engineering, or relevant field preferred, BS in one of same fields acceptable</li></ul><p><b>
Our Team:</b></p><ul><li>
Parallels features award-winning solutions that have helped millions of users for 40 years (can you believe it?!).</li><li>
We offer a fully remote workspace, and we mean it. There is no pressure to work in an office whatsoever.</li><li>
Hours are flexible! You&rsquo;ve worked hard to build your life, and we don&rsquo;t want you to give it up for work.</li><li>
Our team is growing fast, and there&rsquo;s a <i>ton </i>of energy and a lot of really smart, motivated, fun people ready to welcome you in.</li></ul><p>
What are you waiting for? Apply now! We can&rsquo;t wait to meet you.</p><p>
(FYI, we&rsquo;re lucky to have a lot of interest and we <i>so </i>appreciate your application, though please note that we&rsquo;ll only contact you if you&rsquo;ve been selected for an interview.)</p><p><b>
About Parallels</b></p><p>
Parallels is a top VDI/EUC product helping businesses since 1999. Whether it&rsquo;s desktop or cloud, on-prem or hybrid, Parallels has a solution to help your company optimize the speed and security of your work environment at an affordable price.</p><p><i>
It is our policy and practice to offer equal employment opportunities to all qualified applicants and employees without regard to race, color, age, religion, national origin, sex, political affiliation, sexual orientation, marital status, disability, veteran status, genetics, or any other protected characteristic.</i></p><p><i>
Parallels is committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation that are required. Appropriate accommodation will be provided upon request as required by Federal and Provincial regulations and Company Policy. Any information received relating to accommodation will be treated as confidential.</i></p><p><i>
As part of our evaluation process, we utilize an AI tool to assess candidates.</i></p><p><i>
#LI-Remote</i></p></div><p></p>

Senior Data Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Senior Data Engineer (12+ Years Experience)</b></h1><h2 class="jobSectionHeader"><b>
Role Summary</b></h2><p>
We are seeking a seasoned <b>Senior Data Engineer</b> with 12+ years of experience in designing, building, and managing scalable data pipelines and architectures. The role requires deep expertise in modern data engineering practices, cloud platforms, and enterprise-grade data solutions to support analytics, reporting, and strategic decision-making.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p><b>
ETL/ELT Development</b>: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources.</p></li><li><p><b>
Data Lake &amp; Warehouse Design</b>: Architect and implement scalable data lakes and warehouses to support analytics and BI workloads.</p></li><li><p><b>
System Optimization</b>: Optimize data processing frameworks for performance, scalability, and cost efficiency.</p></li><li><p><b>
Data Security</b>: Implement security best practices, encryption, and role-based access controls.</p></li><li><p><b>
Data Governance</b>: Ensure compliance with governance frameworks, data lineage, and quality standards.</p></li><li><p><b>
Collaboration</b>: Work closely with data scientists, analysts, and business stakeholders to deliver reliable data solutions.</p></li><li><p><b>
Automation &amp; CI/CD</b>: Integrate DevOps practices for automated deployment and monitoring of data pipelines.</p></li><li><p><b>
Mentorship</b>: Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence.</p></li></ul><h2 class="jobSectionHeader"><b>
Required Skills</b></h2><ul><li><p><b>
Programming Expertise</b>: Advanced proficiency in Python, Scala, and/or Java for data engineering tasks.</p></li><li><p><b>
Cloud Platforms</b>: Hands-on experience with AWS, Azure, or GCP for building cloud-native data solutions.</p></li><li><p><b>
Data Architecture</b>: Strong knowledge of data modeling, warehousing, and distributed systems.</p></li><li><p><b>
Big Data Tools</b>: Experience with Spark, Hadoop, Kafka, or equivalent frameworks.</p></li><li><p><b>
SQL Mastery</b>: Expertise in writing optimized queries, stored procedures, and performance tuning.</p></li><li><p><b>
Visualization Support</b>: Ability to prepare curated datasets for BI tools like Power BI or Tableau.</p></li><li><p><b>
Problem-Solving</b>: Strong analytical and troubleshooting skills for complex data challenges.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h2><ul><li><p>
Experience with <b>containerization (Docker, Kubernetes)</b> for data workloads.</p></li><li><p>
Knowledge of <b>real-time streaming architectures</b> (Kafka, Kinesis, Event Hub).</p></li><li><p>
Familiarity with <b>data mesh and lakehouse architectures</b>.</p></li><li><p>
Exposure to <b>machine learning pipelines</b> and advanced analytics integration.</p></li><li><p>
Proven track record of <b>leading enterprise-scale data engineering projects</b>.</p></li></ul><p>
</p><p>nH0LSoI5uE</p></div>

Teknoluxion

<div>Overview:
<div><div><b>
Senior Data Engineer</b></div><div><b>
Augusta, GA</b><br>
<b>Active TS/SCI required</b></div><div></div><div><br>
At Bcore, our strength comes from how we deliver impact to the mission. Whether it&rsquo;s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions.</div></div><div></div><div><div><br>
Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a <b>Senior Data Engineer </b>in <b>Augusta, GA.</b></div></div>
Responsibilities:
<ul><li>Apply programming languages (SAS, R, Java, C, MATLAB, Scala, Python) to intelligence analytic problems</li><li>
Accelerate large data transactions across industry-leading GPU architectures</li><li>
Build and run data science workflows using Pandas, Scikit, TensorFlow, Gensim, and similar libraries</li><li>
Interrogate enterprise databases efficiently using SQL</li><li>
Support enterprise data integration, governance, metrics, and metadata management</li><li>
Produce written reports, multimedia briefings, and professional presentations for senior audiences</li><li>
Coordinate and support cross-community meetings, working groups, and special projects</li><li>
Manage personnel, requirements, and project coordination</li></ul>
Qualifications:
<p><b>
Required Qualifications:
</b></p><ul><li>Active TS/SCI clearance</li></ul><div><b>
Education + Experience</b> (one of the following):</div><ul><li>
MA/MS in Data Science, Data Analytics, Informatics, Statistics, or related field + <b>5 years</b> current intelligence analysis experience, OR</li><li>
BA/BS in same fields + <b>10 years</b> current intelligence analysis experience, OR</li><li>
HS diploma/GED + specialized training + <b>15 years</b> intelligence analysis experience, including <b>10 years</b> current GEOINT analysis and <b>5 years</b> data analytics/informatics/statistics experience</li></ul><div><b>
Technical Skills</b></div><ul><li>
Proficiency with programming languages: SAS, R, Java, C, MATLAB, Scala, or Python</li><li>
Experience accelerating large data transactions across GPU architectures</li><li>
Experience with enterprise data integration, governance, metrics, and metadata management</li><li>
Strong SQL skills for efficient database interrogation</li><li>
Experience producing reports using data science libraries (Pandas, Scikit, TensorFlow, Gensim)</li><li>
Expert ability to research, develop, and deliver professional briefings, multimedia presentations, and written reports</li></ul><div><b>
Collaboration</b></div><ul><li>
Expert ability to manage personnel, requirements, and project coordination</li><li>
Excellent written and oral communication, research, and analytic skills</li><li>
Ability to coordinate cross-community meetings and working groups, assimilate large volumes of information, and independently produce reports</li></ul><p><b>
Desired Qualifications:
</b></p><ul><li>Knowledge of Army structure and defense-level intelligence operations (collection, fusion, analysis, production, dissemination)</li><li>
Experience drafting expert assessments across operational priorities for senior stakeholders</li><li>
Specialized training from an intelligence collection/analysis school or GEOINT Professional Certification (GPC-F, GPC_IA-II, GPC_GA-II, GPC_IS-II, or equivalent)</li><li>
Knowledge of the NSG and broader Intelligence Community</li><li>
Familiarity with private-sector data science, machine learning, and data visualization communities</li></ul>
What you can expect from us:
<div><i>
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.</i></div></div>

Capital One

<div>Senior Data Engineer<p></p><p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking<b> </b><b>Data Engineers</b> who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p></p><p>
People Tech is responsible for the digital transformation and operational excellence of Capital One&rsquo;s corporate functions. Our core mission is to innovate and transform the Human Experience by providing robust technical solutions for a diverse portfolio, including HR, Legal, Brand, and Global Workplace Services. This mission is powered by our Engineering, Data, and Enablement Towers, which build the scalable platforms and data driven insights necessary for long term stability and security.</p><p></p><p>
To ensure we move with purpose, our team connects the dots across the organization, driving architectural consistency and fostering an environment of experimentation. Together, we ensure that People Tech is not just executing tasks, but strategically evolving to meet the future needs of our associates and the enterprise.</p><p></p><p><b>
What You&rsquo;ll Do:</b></p><ul><li><p>
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</p></li><li><p>
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems</p></li><li><p>
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</p></li><li><p>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</p></li><li><p>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</p></li><li><p>
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s Degree</p></li><li><p>
At least 3 years of experience in application development (Internship experience does not apply)</p></li><li><p>
At least 1 year of experience in big data technologies</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
5+ years of experience in application development including Python, SQL, Scala, or Java</p></li><li><p>
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</p></li><li><p>
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</p></li><li><p>
2+ year experience working on real-time data and streaming applications</p></li><li><p>
2+ years of experience with NoSQL implementation (Mongo, Cassandra)</p></li><li><p>
2+ years of data warehousing experience (Redshift or Snowflake)</p></li><li><p>
3+ years of experience with UNIX/Linux including basic commands and shell scripting</p></li><li><p>
2+ years of experience with Agile engineering practices</p></li><li><p>
Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</p></li></ul><p></p><p><i>
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
McLean, VA: $161,800 - $184,600 for Senior Data Engineer<br>
<p></p>
Richmond, VA: $147,100 - $167,900 for Senior Data Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Kharon

<div><div><div><b>TL;DR</b> Kharon is seeking a full-time Senior Data Engineer based in Denver, Colorado. This role requires in-office attendance 3 days a week.</div></div><p>
RESPONSIBILITIES:</p><div><ul><li>
Help build large-scale distributed automated data processing systems and data lakes, while optimizing for both computational and storage efficiency on AWS Databricks.</li><li>
Create data pipelines, infrastructure, and overall workflow orchestration to pull data from a diverse set of data sources into the Kharon Data Lake.</li><li>
Build systems to track, monitor and validate the quality of data coming into or going out of Kharon Data Lake.</li><li>
Collaborate with engineers, architects, and data scientists to implement scalable solutions to solve complex problems.</li><li>
Interact and develop with internal and external APIs.</li><li>
Work with product and business teams to define novel and critical metrics for the business.</li><li>
Follow good engineering practices like documentation, diagrams, and unit/validation tests</li><li>
Take full responsibilities for the development, deployment, adoption monitoring and maintenance of the data systems and services you build.</li></ul></div><div></div><p><br>
QUALIFICATIONS:</p><div><ul><li>
3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn.</li><li>
BS/MS in Computer Science or equivalent experience in related fields.</li><li>
Experience in Python, Pandas, PySpark, and Notebooks.</li><li>
SQL knowledge and experience working with relational databases including schema design, access patterns, query performance optimization, etc.</li><li>
Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence.</li><li>
Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent.</li><li>
Container-based deployment experience using Docker and Kubernetes.</li><li>
Strong verbal and written communication skills.</li></ul><div><b>
NICE TO HAVE:</b></div><ul><li>
Experience working with or data modeling for graph databases like Neo4J, Neptune, etc.</li><li>
API experience using FastAPI, Flask, Spring Boot or equivalent.</li><li>
Understanding of elasticsearch data and query modeling is a big plus.</li><li>
Interests or experience in Geopolitics, Sanction Compliance, or Financial Risk.</li></ul></div><div></div><p><br>
ABOUT KHARON:</p><div><div>
Kharon is a highly disruptive and incredibly innovative organization that navigates risk at the intersection of global security threats + international commerce.</div><div>
</div><div>
What does that mean? Great question.</div><div></div><div><br>
Operating at the nexus of global security, Kharon is on a mission to revolutionize the current landscape. We take really complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today&rsquo;s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.</div><div></div><div><br>
When you look at any major global crisis event, we&rsquo;re providing intelligence that&rsquo;s at the heart of those circumstances. We connect the dots in a way that&rsquo;s meaningful. Now, we&rsquo;re experiencing unprecedented growth. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a<b> Senior Data Engineer </b>to join us as we work to shape the way businesses perceive and navigate global risks.</div><div></div><div><br>
To the right person, this will be the perfect kind of challenge. Our mission is compelling, our product is powerful, and we&rsquo;re growing at a rate that makes us unstoppable. If you&rsquo;re looking to be surrounded by people who will inspire you to think and challenge you to grow then look no further. Our team is made up of some of the most visionary and uncompromising individuals you will ever encounter. We don&rsquo;t take ourselves seriously but we&rsquo;re serious about the work we do and there is absolutely no slowing us down.</div><div></div><div><br>
To keep that momentum going, we do our very best to make sure that each and every team member is completely taken care of. We&rsquo;re nothing without our people and we strive to offer a package that reflects that. As a Kharon team member, you can expect:</div><ul><li>
Fully sponsored medical, dental, and vision insurances</li><li>
FSA program for both medical and dependent care</li><li>
Long term disability</li><li>
401k + Roth with matching and immediate vesting</li><li>
Flexible paid time off + 11 paid holidays</li></ul><div><br>
The base salary range at Kharon is set between<b> </b>$160,000 to $200,000. Please note that this figure does not necessarily include potential bonuses, commissions, benefits, or equity that may be part of the overall compensation package.<br>
</div><div>
If interested in pursuing this position, please visit www.kharon.com/careers to apply.</div><div></div><div><br>
Kharon is an equal opportunity employer. Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability.</div><div><br>
#LI-AG1 #LI-Hybrid</div></div><p><b><br>
Compensation:</b> $160,000 - $200,000 / year</p></div>

Koinz

<div>
 <strong>
  About Koinz:
  <br/>
  <br/>
 </strong>
 Koinz is a fast-growing social ecommerce mobile app specializing in food ordering and innovative loyalty programs across the MENA region, notably in Saudi Arabia and Egypt. We're dedicated to enhancing our users&rsquo; experiences through seamless, engaging, and rewarding interactions.
 <br/>
 <br/>
 <strong>
  Role brief:
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic and growing team. You will be instrumental in designing, developing, and optimizing our next-generation data infrastructure, driving key business insights.
 <br/>
 <br/>
 <strong>
  What You'll Bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of professional experience in data engineering or a related field
  </li>
  <li>
   Proficiency in developing data processing jobs using Apache Spark
  </li>
  <li>
   Experience with workflow orchestration tools, specifically Apache Airflow, including designing and maintaining complex DAGs
  </li>
  <li>
   Strong programming skills in Python (including data-related libraries like Pandas, NumPy) for scripting, automation, and ETL/ELT development
  </li>
  <li>
   Mastery of SQL for complex querying, data modeling, and performance tuning in various relational databases
  </li>
  <li>
   Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modeling
  </li>
  <li>
   Excellent problem-solving skills and the ability to work independently and as part of a team
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain efficient, scalable, and reliable data pipelines using Spark, Python, and Airflow
  </li>
  <li>
   Develop optimal SQL queries and stored procedures to ensure data quality and integrity
  </li>
  <li>
   Collaborate with data analysts to understand data needs and deliver data sets that power business decisions and machine learning models
  </li>
  <li>
   Implement robust monitoring, alerting, and logging for all data pipelines to ensure high operational stability
  </li>
  <li>
   Optimize data architecture for performance, cost-efficiency, and security
   <br/>
   <br/>
  </li>
 </ul>
 Powered by JazzHR
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 <br/>
 PJ7GmyHdvJ
</div>


EVgo

<div><div><b>About EVgo:</b></div><div>
</div><div>
EVgo (Nasdaq: EVGO) is one of the nation&rsquo;s largest public fast charging networks for electric vehicles. Our mission is to expedite the mass adoption of electric vehicles (EVs) by creating a convenient, reliable, and affordable EV charging network that delivers fast charging to everyone. EVgo&rsquo;s owned and operated charging network is growing rapidly. We partner with multiple stakeholders including automakers; fleet and rideshare operators; retail hosts such as grocery stores, shopping centers, restaurants, gas stations, and more to make our vision of Electric for All a reality. The EV industry is one of the fastest growing industries in the country. Join us as we charge forward into an all-electric future. .</div><div>
</div><div><b>
Position Summary:</b></div><div>
</div><div>
The Senior Data Engineer will play a critical role in driving EVgo&rsquo;s network growth strategy by leveraging data to inform decision-making across charger deployment, utilization, and customer experience. This role sits at the intersection of data science and data engineering, responsible for building scalable data pipelines, developing advanced analytics and models, and translating complex data into actionable insights.</div><div>
</div><div>
Partnering closely with Product, Data Engineering, and Analytics teams, this individual will design and implement data models and AI-driven solutions that power network planning and optimization. The role will also contribute to the evolution of EVgo&rsquo;s data architecture, ensuring data quality, accessibility, and scalability to support a rapidly growing charging network.</div><div>
</div><div>
This is a highly impactful opportunity for a hands-on data engineer who thrives in a fast-paced environment and is excited to shape how data and AI drive business outcomes in the electric vehicle ecosystem.</div><div>
</div><div><b>
Responsibilities:</b></div><div><ul><li>
Identifying, processing, and making data available for network planning software development, analysis, and reporting.</li><li>
Collaborate with cross-functional teams, including data analysts, data scientists, and product managers, to understand and scope requirements to ensure data infrastructure meets project needs.</li><li>
Design and implement robust data pipelines to ingest, transform, and store data from various internal and external sources.</li><li>
Oversee the development and maintenance of the data warehouse, to ensure data quality, integrity, and security.</li><li>
Build AI agent semantic layers/data models and architecture for agent decision making and software integrations.</li><li>
Evaluate and implement advanced data engineering technologies to enhance the efficiency and scalability of data processing.</li><li>
Provide strategic guidance on data architecture and contribute to the overall data governance framework.</li></ul></div><div><p><b>
Qualifications:</b></p><ul><li>
Typically requires a minimum of 5 years of related experience with a Bachelor&rsquo;s degree; or 3 years and a Master&rsquo;s degree; or a PhD without experience; or equivalent work experience.</li></ul></div><div><p><b>
Desired Skills:</b></p><ul><li>
Strong expertise in designing and implementing Python data pipelines. Proficiency in working with Pandas/Polars or other dataframe libraries is a plus.</li><li>
Proficient in reading/writing SQL, database design, optimization techniques, and debugging. Proficiency in Snowflake or other columnar warehouses is a plus.</li><li>
Solid understanding of cloud-based data storage and processing solutions (e.g., AWS, Azure, and Snowflake).</li><li>
Experience with version control systems (Github, Gitlab, etc.) and collaborative development practices.</li><li>
Excellent communication and leadership skills, with the ability to work effectively in a collaborative, fast-paced, and dynamic team environment.</li><li>
Experience with Cron job and/or scheduling of scripts in a microservices architecture.</li><li>
Strong problem-solving and analytical skills with ability to communicate complex, technical ideas.</li><li>
Interest in performing other tasks such as data analysis, data validation, and data visualization. Proficiency in Tableau or other visualization products are a plus but not mandatory.</li><li>
Understanding of web application architecture and Django/Flask knowledge is a plus but not required.</li></ul></div><div>
For job positions in CA, CO, and NYC, the estimated salary range for a new hire in this position is $116,200.00 USD to $145,300.00 USD. Actual salary may vary depending on job-related factors, including knowledge, skills, experience, and location. In addition to a competitive base salary, discretionary target cash bonus, and restricted stock units (subject to Board Approval). EVgo offers a comprehensive benefits package including health, life, and disability insurance, unbounded paid time off including parental leave, and a 401(k).</div></div>

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