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data engineer

CENTEGIX

<div>Description:
<p><i>
CENTEGIX&reg; is the industry leader in wearable safety technology for healthcare, education, government, and commercial workplaces with over 700,000 badges in use. The cloud-based CENTEGIX Safety Platform&trade; initiates the fastest response time for emergencies, from the everyday to the extreme. Leaders in over 15,000 locations nationwide trust CENTEGIX's innovative safety solutions to empower and protect people (every day).</i></p><p>
Purpose:</p><p>
We are seeking a Data Engineer to join our Software Development team. You will maintain and improve our product data pipeline, help the team analyze data, enforce data hygiene, and implement best practices of data governance or our product data.</p><p>
Reliable, high quality data is essential for sound decisions and accurate forecasts. As part of the data engineering domain, the Data Engineer ensures trusted product data reaches the right people across the organization, from Customer Service and Product to Operations, so we deliver a high quality customer experience.</p><p>
Position Responsibilities:</p><ul><li>
Building, maintaining, monitoring, troubleshooting, and improving data pipelines using a variety of ETL tools</li><li>
Identifying and addressing data consistency and integrity issues</li><li>
Completing data change requests where self-service options do not exist</li><li>
Understanding our product, its data stores, and data pipelines to assist others in answering questions</li><li>
Understanding and enforcing data governance policies</li><li>
Leading the implementation of small projects</li><li>
Supporting junior team members when appropriate</li><li>
Communicating effectively with cross-functional team members</li><li>
Creating and maintaining data domain documentation as needed</li></ul>
Requirements:
<ul><li>1-3 years experience in data engineering or data analyst roles</li><li>
Experience with ETL processes and tools</li><li>
Proficiency with SQL</li><li>
Proficiency with cloud data warehouses (e.g., Snowflake, Databricks, BigQuery)</li><li>
Proficiency with a variety of database products (e.g., MySQL, Postgres, MongoDB, Redis)</li><li>
Familiarity with cloud platforms (e.g., Google Cloud Platform, AWS, Azure)</li><li>
Excellent attention to detail</li><li>
Excellent communication and collaboration skills</li><li>
Ability to adapt to evolving technologies and business processes</li><li>
(Bonus) Familiarity with Python</li></ul><p><b>
What&rsquo;s in it for you?</b></p><ul><li>
Remote first work environment; we offer workplace flexibility</li><li>
Participation in company wide discretionary bonus (2026 eligible)</li><li>
15 days paid time off(prorated)</li><li>
11 paid holidays</li><li>
Monthly device(s) reimbursement</li><li>
Up to $2500/year reimbursement for eligible education expenses</li><li>
We offer a range of Healthcare plans to meet your needs (medical, dental, vision)</li><li>
401(k) Plan with 4% employer contribution to help you plan for the future</li><li>
Employee Referral Bonus</li><li>
Charitable Program Match</li></ul><p>
CENTEGIX is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at CENTEGIX are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other status protected by the laws or regulations in the locations where we operate</p></div>

Data Engineer

Proofpoint

<div><div>About Us:<br>
We are the leader in human-centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We&rsquo;re driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.</div><div><br>
How We Work:<br>
At Proofpoint, you&rsquo;ll be part of a global team that breaks barriers to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate, Responsive to feedback, challenges, and opportunities, Accountable for results and best-in-class outcomes, Visionary in future-focused problem-solving, Exceptional in execution and impact.</div><div></div><div>
Corporate Overview</div><div>
In today&rsquo;s cyber threat landscape, protection starts with people. At Proofpoint, that simple truth fuels our passion for protecting users, the data they create, and the systems they rely on from a uniquely people-centric perspective.</div><div>
And we are just as passionate about finding the right people to help us in that mission. When you join Proofpoint, you are helping to:</div><ul><li>
Build and enhance our proven security platform</li><li>
Blend innovation and speed in a constantly evolving cloud environment</li><li>
Analyze new threats and offer deep insight through data-driven intel</li><li>
Collaborate with customers to help solve their toughest security challenges</li></ul><div></div><div>
We are devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are a leader in next-generation cybersecurity&mdash;and why more than half of the Fortune 100 trust us as a security partner.</div><div></div><div>
The Role</div><div>
We are looking for a highly skilled Data Engineer to join the Customer Success organization. This individual will partner with Engineering on the data pipeline, and then use advanced SQL, Python and other languages to transform large data sets and create outputs to feed various tools used by our customer facing teams. The Data Engineer will play a critical role in enabling strategic initiatives such as Customer 360, Digital CS campaign engine, automated Product Health Diagnostics, predictive churn models and Power BI dashboards.</div><div></div><div>
This role will be a technical individual contributor reporting to the Senior Director, Strategy &amp; Operations, Customer Office.</div><div></div><div>
Your day-to-day</div><ul><li>
Collaborate closely with Engineering - Business Applications team to ensure a robust data pipeline is in place in our AWS infrastructure (e.g., S3, Lamda, Glue, Redshift)</li><li>
Partner with Customer Success subject matter experts to define data requirements and transformation logic</li><li>
Use SQL, Python, and other data processing languages to implement transformation logic to produce outputs that enable data-driven customer success initiatives</li><li>
Develop scalable, reusable code for reduce delivery time for future initiatives</li><li>
Ensure data quality, consistency, and scalability across large, complex datasets.</li></ul><div></div><div>
What you bring to the team</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field.</li><li>
5+ years of experience in data engineering / analytics, preferably in a SaaS or technology company.</li><li>
Advanced knowledge of SQL and Python for data manipulation, pipeline automation, and business logic implementation.</li><li>
Experience with modern data platforms (Snowflake, Redshift, BigQuery, Databricks, or equivalent).</li><li>
Extensive hands-on use of Excel</li><li>
Strong collaboration skills with both technical and non-technical stakeholders.</li><li>
Ability to work on multiple projects at once</li><li>
Ownership mentality &ndash; proactively solving problems and assuming accountability for results</li><li>
Proven ability to thrive in a high-growth, fast-paced, dynamic environment.</li></ul><div><br>
Why Proofpoint</div><div>
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success. We are a customer-focused and driven-to-win organization with leading-edge products&mdash;and many exciting reasons to join our team. We believe in hiring the best, the brightest and cultivating a culture of collaboration and appreciation.</div><div></div><div>
We are a diverse, multinational company with opportunities in all functions, and leaders that welcome candidates from all walks of life. Apply today and explore your future #LifeAtPFPT.</div><div></div><div>
Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you&rsquo;ll love working with us:</div><div></div><ul><li>Competitive compensation</li><li>Comprehensive benefits</li><li>Learning &amp; Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.</li><li>Flexible work environment: [Remote options, hybrid schedules, flexible hours, etc.].</li><li>Annual wellness and community outreach days</li><li>Always on recognition for your contributions</li><li>Global collaboration and networking opportunities</li></ul><div></div><div>
Our Culture:</div><div>
Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to <div>accessibility@proofpoint.com</div>. How to Apply Interested? Submit your application here <div>https://www.proofpoint.com/us/company/careers</div>. We can&rsquo;t wait to hear from you!</div><div>
Consistent with Proofpoint values and applicable law, we provide the following information to promote pay transparency and equity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets as set out below. Pay within these ranges varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate. The range provided may represent a candidate range and may not reflect the full range for an individual tenured employee. This role may be eligible for variable compensation and/or equity. We offer a competitive benefits package, including flexible time off, a comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year, plus a three-week Work from Anywhere option.</div><div>
Base Pay Ranges:</div><div></div><div>
SF Bay Area, New York City Metro Area:</div>
Base Pay Range: 132,160.00 - 207,680.00 USD<div></div><div>
California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:</div>
Base Pay Range: 109,410.00 - 171,930.00 USD<div></div><div>
All other cities and states excluding those listed above:</div>
Base Pay Range: 98,700.00 - 155,100.00 USD</div>

GPRS

<p></p><div><p>GPRS is the nation&rsquo;s largest company dedicated to Intelligently Visualizing the Built World&reg; for clients throughout the U.S. What began with a single ground penetrating radar unit in the trunk of founder and President Matt Aston&rsquo;s car in 2001 has grown to a $200-million company. Our firm now encompasses every area of construction site and facility safety across virtually every industry. We offer a full suite of project visualization services to help you plan, build, and manage better</p><p><b><br>
PLAN</b> - Prevent rework and delays with accurate as-built documentation, including utility maps, 3D CAD, and BIM models.<br>
<i>Planning &amp; Design Services:</i></p><ul><li>
Reality Capture</li><li>
Existing Conditions Documentation</li><li>
3D Photogrammetry &amp; Laser Scanning</li><li>
Utility Mapping</li><li>
Clash Detection</li></ul><p><b><br>
BUILD</b> - Dig, drill, and build with certainty using precise subsurface and infrastructure data.<br>
<i>Construction Services:</i></p><ul><li>
Ground Penetrating Radar (GPR)</li><li>
Concrete Scanning</li><li>
Utility Locating</li><li>
Void &amp; Rebar Mapping</li><li>
Drone &amp; Laser Scanning</li></ul><p><b><br>
MANAGE</b> - Access up-to-date, layered facility records in SiteMap&trade;, available 24/7 and securely stored.<br>
<i>Facility &amp; Project Management Services:</i></p><ul><li>
SiteMap&trade; Platform</li><li>
Virtual Floorplan &amp; BIM Integration</li><li>
BOMA Heatmaps</li>
Historical Records<br>
<li>
</li></ul><p><br>
<b>Job Summary:</b></p><p>
The Data Engineer is responsible for designing, building, and maintaining the infrastructure and systems that enable GPRS to store and analyze large volumes of data. They work with various data technologies and tools to ensure data is accessible, reliable, and efficiently processed. Key responsibilities include creating and managing data pipelines, designing and optimizing databases, integrating data from different sources, and collaborating with stakeholders to meet business needs. Additionally, they monitor and optimize data processing systems, implement data security measures, and ensure compliance with relevant standards.</p><p>
</p><p><b>Job Goals:</b></p><ul><li>
Support the development of GPRS&rsquo; master data management and model for our key operational data.</li><li>
Assist in creating and maintaining a comprehensive master data management system that ensures the accuracy, consistency, and reliability of key operational data across the organization. This includes developing data models that support business processes and decision-making.</li><li>
Build pipelines for integrating data from various sources and manage the ETL processes necessary to provide qualified data sets at appropriate intervals (including real-time).</li><li>
Design, develop, and maintain data pipelines that extract, transform, and load (ETL) data from multiple sources into data warehouses or data leaks. Ensure that data is processed efficiently and made available at the required intervals, including real-time, to support business needs.</li><li>
Partner with business unit stakeholders to define and optimize the data processing systems to the appropriate quality measures.</li><li>
Collaborate with stakeholders from various business units to understand their data requirements and ensure that data processing systems are designed and optimized to meet these needs. Implement quality measures to ensure data accuracy, consistency, and reliability, and continuously improve data processing workflows.</li></ul><p><b><br>
Job Responsibilities:</b></p><ul><li>
Support GPRS&rsquo; definition and build-out of a Master Data Management system, including data governance, integration, quality, and system design and architecture</li><li>
Maintain appropriate databases, warehouses, lakes, etc., for data integrity and availability with a focus on scalability and optimization</li><li>
Build and maintain data pipelines and automated ETL processes for data ingestion and transformation</li><li>
Work closely with stakeholders to identify additional data sources that are relevant to support a date-driven organization</li><li>
Support the organization with ad hoc data manipulation exercises, especially with M&amp;A activities and data migrations</li></ul><ul><li>
Bachelor&rsquo;s degree in Business, IT, Data Analytics, or similar discipline and/or 4 years of work experience in lieu of degree</li><li>
MS Data Analytics, Data Engineering, or similar, preferred</li><li>
Minimum 2 years of experience as a Data Engineer, or similar role</li><li>
Proficiency in programming languages such as Python, SQL, and Java</li><li>
Experience with data processing frameworks like Apache Spark or Hadoop</li><li>
Knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB)</li><li>
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)</li><li>
Familiarity with the operationalization of machine learning in a business environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Excellent communication and teamwork abilities</li></ul><p><br>
We offer full medical, dental, and vision insurance with day-one coverage, 401k with company matching beginning on day one, Life, Short-Term, and Long-Term Disability at no cost to our employees, paid holidays, paid time off, leadership development training programs and additional benefits to support our strong commitment to the development of each team member.<br>
<br>
GPRS is an Equal Opportunity employer</p></div><p></p>

AAA Auto Club Enterprises

As our Data Engineer, you will function as a consultant between our technology unit and other business units to understand their challenges. You’ll ask questions and present ideas that enable them to solve those data problems with code. Our team is 100% remote, but you must be willing to travel 3 days a month for team meetings.
<br>To thrive in this role, you must understand how to query and process large data sets of 200,000 rows or more, ideally in SQL. You must also have functional knowledge of at least 1 programming language like Python. Be prepared to share an example of how you have worked with multiple tables to develop a solution to a business problem (real or hypothetical for more junior candidates).
<br><br>
What You’ll Do
<br><br>
Every day you will begin with a set of technical specifications to begin coding solutions to issues across the business. Our team’s success isn’t just implementing the code but seeing that those insights are implemented by the business, and they have the necessary tools to accomplish the goal. More senior Data Scientists will write these technical specifications while junior applicants are doing the work to translate specs into functional code.
<br><br>
Ask questions and do quality testing to understand if the solution meets the objectives of the business or the goal we set for the business. You will work side-by-side with the business to make sure it works as expected, not just as designed.
<br><br>
What You’ll Need
<br><br>
To thrive in this role, you must have a passion for problem-solving using data. Your experience in querying the high volumes of data and doing the data analysis must inform how you design solutions that align with the business objectives.
<br><br>
Being proficient with SQL and programming languages such as Python and Spark is a must.
<br><br>
Experience with data integration from different sources into Big Data systems is preferable.
<br><br>
Experience quality testing and coding. These solutions will deploy across products that are important to our customers and the business. They must be high-quality and functional.
<br><br>
A willingness to collaborate. Our best work is done when we work together - either with non-technical or technical leads. You should be interested in learning from others regardless of their role in the organization.
<br><br>
You have worked previously with an Agile team or understand these concepts. You expect to participate in daily standup meetings, you’ll complete your projects or stories during our sprints, and you’ll be ready to meet frequent deployment deadlines.
<br><br>
#LI-SJ1
<br><br>
<b>Remarkable benefits:</b><br>
<ul>
<li>Health coverage for medical, dental, vision</li>
<li>401(K) saving plan with company match AND Pension</li>
<li>Tuition assistance</li>
<li>PTO for community volunteer programs</li>
<li>Wellness program</li>
<li>Employee discounts (membership, insurance, travel, entertainment, services and more!)</li>
</ul>
Auto Club Enterprises is the largest federation of AAA clubs in the nation. We have 14,000 employees in 21 states helping 17 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1902, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.
<br><br>
"Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”
<br><br>
AAA is an Equal Opportunity Employer

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Position Summary: </b>Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Multiple positions.</p><p></p><p><b>
Requirements:</b> Master&rsquo;s degree (or foreign equivalent) in Computer Science, Electrical Engineering, Business Analytics, Computer Information Systems, or a related field and completion of a university-level course, research project, internship, thesis, or 6 months of experience in each of the following: Java, Python, or R; Amazon Web Services (AWS), or Google Cloud Platform (GCP); Spark, PySpark, Airflow, Kafka, or MySQL; Visualization tools, including PowerBI, Tableau, ArcGIS, Excel Powerview, and D3; Developing backend services, performing code reviews, and collaborating with peers on software development solutions; Contributing to largescale applications development, data science, or data analytics projects; Data analytics on large data sets in healthcare, business, or retail sector; Extract/Transform/Load (ETL) processes; Developing data and analytics-based platform capabilities, services, or products; and Supporting large data, analytics, and technology modernization initiatives.</p><p></p><p><b>
Pay Range:</b> $122949.00/year to $140000.00/year.</p><p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.<br>
<br>
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.<br>
<br>
For more detailed information on available benefits, please visit https://jobs.cvshealth.com/us/en/benefits</p>
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

<div>Responsibilities:
<div>
As a Staff Data Engineer, you'll use an advanced analytical, data-driven approach to drive a deep understanding of our fast-changing business and answer real world questions. You'll work with stakeholders to develop a clear understanding of data and data infrastructure needs, resolve complex data-related technical issues, and ensure optimal data design and efficiency.</div><div><br>
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources-People-drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.</div><div><b><br>
Do you have a:</b><br>
HEART FOR PEOPLE... you're willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others?<br>
HEAD FOR BUSINESS... you consistently demonstrate and uphold the standards of coding, infrastructure, and process?<br>
PASSION FOR RESULTS... you're capable of high-velocity contributions in multiple technical domains?</div><div><b><br>
We are looking for:</b><br>
<ul><li>8+ years of experience related to data engineering</li></ul></div><div><b><br>
What is the work?</b><br>
Design &amp; Development:<br>
<ul><li>Designs data patterns that support creation of datasets for analytics; implements calculations, cleanses data, ensures standardization of data, maps / links data from more than one source</li><li>Performs data validation and quality assurance on work of senior peers and write automated tests</li><li>Maintains / streamlines / orchestrates existing data pipelines end to end</li><li>Builds / supports complex data warehousing pipelines into cloud platforms GCP/AWS, data integrations, data streaming solutions, predictive model implementations with prompt engineering for AI Models, building out data quality checks into data pipelines that are on BigQuery or Databricks</li><li>Works with peer staff engineers to perform design reviews and swiftly change patterns according to latest tools and technologies</li><li>Designs and develops real-time streaming requirements by using structured streaming from either pub-sub or another streaming table on datalake</li><li>Builds / supports more complex data pipelines including application programming interfaces (APIs)</li><li>Identifies complex data from upstream sources to enable new capabilities.</li><li>Engages in testing of the technical solutions to ensure data integrity and system functionality of own work and broader system, E2E</li><li>Builds large-scale batch and real-time data pipelines with big data CDC processing frameworks</li><li>Designs / develops data integrations to support application engineering and system integration</li><li>Designs / develops / maintains large data pipelines; diagnoses / solves production support issues</li><li>Creates documentation and training related to technology stacks and standards within assigned team</li><li>Designs / implements monitoring capabilities based on business SLA and data quality</li><li>Uses / contributes to refinement of Digital Engineering-related tools, standards, and training</li><li>Engages / collaborates with external technical teams to ensure timely, high-quality solutions</li><li>Engages with shared services teams and vendors when necessary</li><li>Works closely with Product, Data Science, Application, and Analytics teams to develop a clear understanding of data and data infrastructure needs; assists with data-related technical issues; ensures optimal data design and efficiency</li><li>Performs full SDLC process, including planning, design, development, certification, implementation, and support</li><li>Interacts with Product, Business, Analyst stakeholders to confirm data quality, discuss requirements, and support data testing</li><li>Peer reviews with team members; learns / adapts from peer review of own code</li><li>Contributes to overall design, architecture, security, scalability, reliability, and performance</li><li>Mentors / provides support to Senior Data Engineers</li><li>Builds more complex data models to deliver insightful analytics; ensures highest standard in data integrity</li><li>Has knowledge in machine learning concepts</li></ul></div><div><b><br>
What is your background?</b><br>
<ul><li>A related degree or work experience, preferably a Bachelors degree in related work stream</li><li>8+ years of experience related to data engineering</li><li>Experience in Lean Startup or Agile development methodologies</li><li>Experience working in large scale cloud infrastructure, large data sets, and mission critical SLAs</li><li>Experience in Advanced SQL / Python.</li><li>Have a data engineering certification from any of the cloud technologies</li></ul></div><div><b><br>
Do you have what it takes to be an H-E-B Staff Data Engineer?</b><br>
<ul><li>Advanced knowledge of Lean Startup / Agile methods</li><li>Strong understanding business intelligence, analytics and reporting, and application integration</li><li>Knowledge of data architectures such as data warehouse, data lake, and data mesh and when to apply</li><li>Strong working understanding of data architecture and data modeling best practices and guidelines for various data and analytic platforms</li><li>Strong working understanding of coding standards and design principles / patterns</li><li>Strong prioritization skills</li><li>Strong verbal / written communication and data presentation skills</li><li>Ability to deliver on ambiguous projects with incomplete information</li><li>Ability / willingness to learn new technologies as they emerge</li><li>Ability to calmly work under pressure</li><li>Ability to work a flexible schedule as needed</li><li>Ability to collaborate across multiple teams at multiple work locations</li><li>Ability to work within a team, and willingness to take feedback from peers and mentors</li></ul></div><div><b><br>
Can you...</b><br>
<ul><li>Function in a fast-paced environment with the ability to work from home and / or office</li><li>Work extended hours; sit for extended periods</li></ul></div><div></div><div><i><br>
JDENGINEERING</i></div></div>

Staff Data Engineer

EOG Resources

<div><div><div>Job Description</div></div>
<p></p><div><div>Job ID#:
</div><div><p>10732</p>
</div></div><div><div>Job Category:
</div><div><p>Information Systems</p>
</div></div><div><div>Position Type:
</div><div><p>Full Time, Regular</p><br>
</div></div><br>
<p></p><div><div><div><div>The Sr. Data Engineer is responsible for designing, implementing and supporting full life-cycle data engineering projects for current and future economic planning applications. These project should include large data ingestion, persistence, transformation, and retrieval. Day-to-day responsibilities include designing, developing and maintaining the Oracle, MemSQL and Python code that supports iTypeCurve and iInvest applications. Will be responsible for the dataflow pipeline between Planning database and other data stores such as Primo, ODM and Accounting data.</div><br>
<p></p>
</div></div></div><div></div><div><div>Job Requirements</div></div><br>
<p></p><div><div><div><div>Bachelor's degree in Computer Science, Engineering or other equivalent degree, with 4+ years data engineering experience, or Master's degree in Computer Science, Engineering or other equivalent degree with 2+ years data engineering experience. Requires 2+ years' experience in the design, implementation and support of full life-cycle data engineering projects. Experience in event driven and cloud based architectures and working knowledge of containerization and streaming technologies. Proficiency using Python, .NET, Node, Java or similar language. Experience with SQL and other data query languages required.</div><div>
</div><div>
Position will be filled at a level commensurate with experience.</div><div><b>
</b></div><div><b>
EOG Resources is an Equal Opportunity Employer, including Veterans and Disabled.</b></div><br>
<p></p>
</div></div></div><br>
<br>
<div><div><b>Equal Employment is the Law</b><b><br>
</b><p><b>Requests for Accommodation</b><b><br>
</b></p><p>Individuals with a disability who wish to request an accommodation to complete an employment application, please Click here or call 713-651-6694.<br>
</p></div></div><p></p><div><div><br>
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Sr. Data Engineer

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