auto mechanic r & r tansmission and engine

avionics radiation hardness assurance engineer

critical systems (mep) engineer - data center operations (houston)

dam engineer with structural, hydraulics or geotech focus

auto mechanic r & r tansmission and engine Jobs in Houston

avionics radiation hardness assurance engineer Jobs in Houston

critical systems (mep) engineer - data center operations (houston) Jobs in Houston

dam engineer with structural, hydraulics or geotech focus Jobs in Houston

data engineer

software engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p><b>
Job Responsibilities</b></p><ul>
<li>Design and develop creative software solutions, using innovative approaches to solve complex technical issues.</li>
<li>Lead the creation and implementation of automation frameworks and AI-driven solutions to enhance business processes.</li>
<li>Develop strategies for performance testing and automation to improve software quality and delivery speed.</li>
<li>Establish and promote best practices in performance testing and automation throughout the organization.</li>
<li>Write secure, high-quality production code and review/debug code from other team members.</li>
<li>Help create and maintain Non-Functional test suites.</li>
<li>Analyze test results, document testing activities, and track software defects.</li>
<li>Identify and automate solutions for recurring issues to improve system stability.</li>
<li>Communicate project status clearly and manage priorities when handling multiple tasks.</li>
<li>Collaborate within a Scrum team, participate in Agile activities, and support a culture of diversity, equity, and inclusion.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul>
<li>Formal training or certification in software engineering, with 10+ years of experience.</li>
<li>Strong system design, application development, and operational stability skills.</li>
<li>Advanced proficiency in programming languages (Java, Python, C#, etc.)</li>
<li>Hands-on work with Large Language Models (LLMs), Generative AI and Agentic AI.</li>
<li>Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face).</li>
<li>Experience with distributed systems and cloud platforms (AWS, Databricks, Snowflake).</li>
<li>Expertise in microservices, RESTful APIs, and database technologies (relational/NoSQL).</li>
<li>Familiarity with containerization tools (Docker, Kubernetes, Helm).</li>
<li>Experience with performance testing tools (JMeter, Blazemeter) and Gremlin Testing.</li>
<li>Skilled in development and testing tools (JUnit, Groovy, Postman, REST Assured, Eclipse, Maven, Jenkins, IntelliJ).</li>
<li>Effective communication across teams and management, with a proactive approach to process improvement.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul>
<li>Cloud certification (AWS, GCP, Azure).</li>
<li>Practical cloud-native development experience.</li>
<li>In-depth knowledge of the financial services industry and their IT systems.</li>
<li>Experience in creating and executing performance and chaos test scripts.</li>
<li>Experience in or understanding of A/B Testing, Gremlin Testing, Engineering principles.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Lead Software Engineer

Wolters Kluwer

<div><div>Lead Product Software Engineer</div><div>
We&rsquo;re looking for a Lead Product Software Engineer to drive end‑to‑end solution design and delivery across our .NET and Angular stack on Microsoft Azure. You&rsquo;ll set a high bar for engineering quality, guide teammates, and turn complex business needs into reliable, scalable software. If you enjoy building well‑designed systems, optimizing performance, and using AI tools responsibly to boost team velocity, this role is a great fit.</div><div></div><div>
Responsibilities</div><div>
Design Collaboration and Specification:<br>
Partner with product, UX, and architecture to translate business needs into clear technical designs, API contracts, and delivery plans.</div><div>
Innovative Software Application Design:<br>
Lead the design and development of modern applications using C#/.NET (ASP.NET Core), Angular/TypeScript, and Azure services; choose patterns that scale and last.</div><div>
Team Supervision:<br>
Mentor engineers through code reviews, pairing, and design sessions. Provide guidance on best practices, trade‑offs, and technical decisions.</div><div>
Technical Requirements Documentation:<br>
Produce and maintain technical specs, architecture diagrams, and standards to keep teams aligned and efficient.</div><div>
Advanced Data Analysis:<br>
Use data insights to inform software design and prioritization; validate performance assumptions with real metrics.</div><div>
Performance Optimization Expertise:<br>
Profile and optimize APIs, Angular front‑ends, SQL queries, and cloud resources. Lead caching, indexing, and cost/performance optimization initiatives.</div><div>
Containerization &amp; Orchestration (Kubernetes):<br>
Design and operate containerized workloads in AKS (or similar Kubernetes environments), including resource tuning, deployment patterns, and workload observability.</div><div>
Testing Strategy Development:<br>
Define and enforce testing strategies (unit, integration, contract, E2E, performance). Champion automation and continuous quality gates.</div><div>
Data Preparation and Analysis:<br>
Model, query, and optimize SQL Server/Azure SQL schemas and data access patterns; ensure data correctness and resiliency.</div><div>
High‑Level Technical Support:<br>
Provide advanced technical support for maintenance, usage, and issue resolution; act as an escalation point for complex challenges.</div><div>
Resource Requirement Identification:<br>
Assess personnel, tooling, and infrastructure needs; communicate clear recommendations that support planning and prioritization.</div><div>
Real‑Time System Monitoring:<br>
Implement proactive monitoring and alerting using Azure Monitor, Application Insights, and Kubernetes‑native observability tools.</div><div>
Responsible AI &amp; Advanced Technology Adoption:<br>
Evaluate AI development tools, establish validation standards for AI‑assisted code, and define responsible usage guidelines aligned with policy and compliance.</div><div></div><div>
Skills</div><div>
Software Engineering:<br>
Design, build, and maintain software using engineering fundamentals and sound judgment.</div><div>
Software Development (.NET, Angular, Azure):<br>
C#/.NET (ASP.NET Core), Angular/TypeScript, and Azure services to deliver secure, scalable, high‑quality applications.</div><div>
Programming:<br>
Proficient in C#, TypeScript, SQL, and supportive scripting languages.</div><div>
Problem Solving:<br>
Structured, data‑driven approach to understanding and resolving complex issues.</div><div>
Analysis:<br>
Break down complex problems; understand interactions and dependencies across systems.</div><div>
Testing:<br>
Design and implement comprehensive testing strategies; emphasize automated testing and continuous quality.</div><div>
Agile:<br>
Collaborate effectively in iterative development environments; respond well to change.</div><div>
Source Code Repository:<br>
Strong Git practices (branching, pull requests, code reviews) using Azure DevOps or GitHub.</div><div>
Relational Database:<br>
Design, query, and optimize SQL Server/Azure SQL with strong data modeling and indexing skills.</div><div>
APIs:<br>
Design, secure, document, and evolve RESTful APIs and service integrations.</div><div>
Design:<br>
Communicate system architectures and software designs clearly through diagrams and documentation.</div><div>
Framework:<br>
Apply modern patterns including DI, domain‑driven design concepts, and modular, cloud‑ready architectures.</div><div>
Automation:<br>
Build CI/CD pipelines, promote infrastructure automation, and define quality gates.</div><div>
Documentation:<br>
Produce clear, concise documentation to support design, onboarding, and long‑term system maintenance.</div><div>
Kubernetes &amp; Containerization:<br>
Package and operate services using Docker and Kubernetes, especially AKS, with strong understanding of deployment strategies and observability.</div><div>
Advanced Technology Adoption and Utilization:</div><ul><li>
AI Tool Evaluation and Adoption: Select and introduce AI tools where they add meaningful value.</li><li>
AI Output Quality: Ensure AI‑generated code is validated and reviewed with appropriate rigor.</li><li>
Responsible AI Usage: Define safe and compliant usage patterns aligned to internal policies.</li><li>
AI Development Workflow: Embed AI thoughtfully into daily development workflows.</li></ul><div></div><div>
Adjacent Skills</div><ul><li>
Cloud‑Native Architecture: Microservices, 12‑factor apps, distributed systems.</li><li>
CI/CD &amp; DevOps: Automated pipelines, testing, and gated releases.</li><li>
Infrastructure as Code: Bicep, Terraform, ARM for consistent provisioning.</li><li>
Observability: Tracing, metrics, logs, alerting, and SLO practices.</li><li>
Security: OAuth2/OIDC, secure coding, secrets management, scanning tools.</li><li>
API Governance: Versioning, OpenAPI/Swagger, backward compatibility.</li><li>
Messaging &amp; Events: Azure Service Bus/Event Hubs, Kafka patterns.</li><li>
Caching: Redis and in‑app caching strategies.</li><li>
Front‑End Performance: Profiling, lazy loading, and Angular optimization.</li><li>
Release Strategies: Canary, blue/green deployments, feature flags.</li><li>
Production Readiness / SRE: Runbooks, incident response, RCA processes.</li><li>
Technical Communication: Clear written documentation and cross-functional communication.</li></ul><div></div><div>
Competencies</div><ul><li>
Analytical Skills &ndash; Use data and logical reasoning to guide decisions.</li><li>
Inclusive Collaboration &ndash; Partner effectively with diverse roles and perspectives.</li><li>
Drive to Perform &ndash; Show initiative, follow‑through, and results orientation.</li><li>
Accountability &ndash; Own commitments and deliver consistently high-quality work.</li><li>
Functional Expertise &ndash; Apply deep technical judgment and domain knowledge.</li><li>
Operational Expertise &ndash; Contribute to reliability, monitoring, and maintainability of systems.</li></ul><div></div><div>
Our Interview Practices</div><div></div><div><i>
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we&rsquo;re getting to know you&mdash;not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.</i></div><div></div><div><i>
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.</i></div><div></div><div><br>
Compensation:</div>
$116,400.00 - $204,100.00 USD<br>
<div></div>
This role is eligible for Bonus.<div></div><div><i>
Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.</i></div><div></div><div>
Additional Information:</div><div></div><div>
Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, &amp; Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.</div></div>

Lead Product Software Engineer

American Bureau of Shipping (ABS)

<div><p>ABS is seeking an exceptional Software Engineer to join our Applied Artificial IntelIigence (AI) Practice Team. In this full-time role, you will design, build, and deploy intelligent systems that move beyond research into production at scale. You will focus on architecting and evaluating multi-agent systems, retrieval-augmented generation (RAG) pipelines, and fine-tuned large language models delivering AI capabilities that drive measurable business impact.
</p><p><b>Location:
</b></p><p>This position can be based in Houston, Texas; Knoxville, Tennessee; or Washington, DC.
</p><p><b>What You Will Do:
</b></p><ul><li><b>Build at the frontier: </b>Design and implement end-to-end AI systems, including multi-agent workflows, retrieval pipelines, and customized LLMs.
</li><li><b>Engineer full-stack solutions: </b>Deliver web and backend applications that seamlessly integrate AI, ensuring reliability, scalability, and strong user experience.
</li><li><b>Raise the bar on evaluation </b>: Develop rigorous truth sets, automated quality checks, and real-time monitoring pipelines to quantify performance and business outcomes.
</li><li><b>Prototype rapidly: </b>Transform research concepts into production-grade systems through fast iteration, disciplined testing, and continuous refinement.
</li><li><b>Shape best practices: </b>Contribute to internal standards for applied AI development, evaluation, and deployment at scale.
</li></ul><p><b>What You Will Need:
</b></p><p>Education and Experienc e
</p><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
</li><li>5+ years of software development experience, including 3+ years building production-grade AI systems.
</li><li>Proven track record delivering AI agents, RAG pipelines, or fine-tuned models with measurable business impact.
</li><li>Experience designing evaluation frameworks and truth sets for applied AI quality assurance.
</li></ul><p>Knowledge, Skills, and Abilities
</p><ul><li>Strong expertise in agent frameworks and LLM orchestration (API-first development, Vercel AI SDK, LangChain, etc.).
</li><li>Deep knowledge of RAG architectures, embeddings, vector databases, and retrieval optimization strategies.
</li><li>Experience with LLM fine-tuning, prompt design, and model performance evaluation.
</li><li>Full-stack engineering skills across modern web and backend technologies.
</li><li>Familiarity with MLOps practices: CI/CD, model versioning, monitoring, and deployment at scale.
</li><li>Strong grounding in applied information retrieval and vector-based systems.
</li></ul><p><b>Reporting Relationships:
</b></p><p>This role reports to a project manager and does not initially include direct reports.
</p><p><b>Salary Range:
</b></p><p>$90,000 - $150,000
</p><p>Starting salary is based on multiple factors including skillset and experience.</p></div>

Software Engineer, Applied Artificial Intelligence (AI)

YO IT Consulting

<div>
 Contract
 <br/>
 <br/>
 Remote
 <br/>
 <br/>
 Role Description
 <br/>
 <br/>
 As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, directly helping to improve the world&rsquo;s premier AI models.
 <br/>
 <br/>
 Your Profile
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of hands-on experience using R for data analysis, statistics, or data science work.
  </li>
  <li>
   Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
  </li>
  <li>
   Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
  </li>
  <li>
   Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
  </li>
  <li>
   Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
  </li>
  <li>
   Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
  </li>
  <li>
   Minimum Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
  </li>
  <li>
   Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
  </li>
  <li>
   Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
  </li>
  <li>
   Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.
   <br/>
   <br/>
  </li>
 </ul>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
  </li>
  <li>
   Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
  </li>
  <li>
   Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
  </li>
 </ul>
</div>


R - Programming Software Engineer

Green Gas USA

<div><p>At GreenGas, we&rsquo;re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We&rsquo;re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy.</p><p></p><p><b><br>
Data Engineer - Intern</b><br>
<b>Location:</b> Houston, TX / Hybrid<br>
<b>Reports To:</b> Chief Information Officer<br>
<b>FLSA Status:</b> Non-Exempt</p><p></p><p><b><br>
Position Summary</b></p><p>
The Data Engineer Intern plays a supporting role in advancing the organization&rsquo;s data-driven initiatives. In this role, the intern assists in building and maintaining elements of the data infrastructure that enable data to be collected, stored, processed, and made accessible for analysis, reporting, and machine learning. Working under the guidance of experienced engineers, the IT Data Engineer Intern gains hands-on experience with data pipelines, data platforms, and data integration processes while contributing to projects that improve the availability, quality, and usability of organizational data.</p><p></p><p><b><br>
Key Responsibilities</b></p><ul><li><b>
Design and Implement ETL/ELT Processes:</b> Build robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move data from various sources (databases, APIs, streaming sources, external data providers) into data warehouses, data lakes, or other data repositories.</li><li><b>
Develop and Maintain Scalable Data Pipelines:</b> Create efficient and scalable data pipelines to handle large volumes of structured and unstructured data.</li><li><b>
Automate Data Workflows:</b> Data engineers will write code and scripts to automate repetitive tasks in data collection, processing, and delivery. Ie Databases to PBIs.</li><li><b>
Monitor and Troubleshoot Pipelines:</b> Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.</li></ul><p>
Data Architecture and Storage</p><ul><li><b>
Design and Maintain Data Architecture:</b> Selecting appropriate technologies for data storage such as relational databases, NoSQL databases, data lakes, data warehouses, cloud storage services) and designing efficient data models, schemas.</li><li><b>
Optimize Data Storage and Retrieval:</b> Work to ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.</li><li><b>
Evaluate and Implement Data Solutions:</b> Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.</li><li><b>
Cloud Platform Management:</b> Proficiency in Azure to deploy and manage data solutions in the cloud, including automation, databases and PowerBI&rsquo;s.</li></ul><p>
Data Quality, Governance, and Security</p><ul><li><b>
Ensure Data Quality and Integrity:</b> Implement validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies, ensuring data accuracy.</li><li><b>
Implement Data Governance Frameworks:</b> Define standards and policies for data usage, ensuring consistency, reliability, and compliance (e.g., GDPR, HIPAA).</li><li><b>
Manage Data Security and Access:</b> Implement security controls and access management policies to protect sensitive information from unauthorized access or theft.</li></ul><p>
Collaboration and Support</p><ul><li><b>
Provide Data Access Tools:</b> Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.</li><li><b>
Document Technical Designs and Workflows:</b> Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.</li><li><b>
Support Data-Driven Decision Making:</b> By providing clean, reliable, and accessible data, data engineers enable organizations to make informed business decisions.</li></ul><p></p><p><b><br>
Skills</b></p><ul><li><b>
Programming Languages:</b> Python, Java, SQL and related technologies</li><li><b>
Database Systems:</b> Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).</li><li><b>
Data Warehousing:</b> Experience with data warehousing and platforms (e.g., Snowflake).</li><li><b>
ETL Tools:</b> Proficiency with various ETL tools such as snowflake and Databricks</li><li><b>
Cloud Platforms:</b> Experience with Azure Suite, Jira DevOps and Ticketing system.</li><li><b>
Big Data Technologies:</b> (Hadoop, Spark, Kafka, Hive).</li><li><b>
Data Modeling and Schema Design:</b> Ability to design efficient data models.</li><li><b>
Scripting and Automation:</b> For automating data processes.</li></ul></div><p></p>

Data Engineer - Intern

Zeus Solutions Inc

<p><b>Position Summary</b></p><p>We are seeking an Android Mobile Developer to provide assessment and programming support to analytic staff in modeling, designing, developing, coding, maintaining, and testing modern, data-intensive mobile applications.</p><p><b>Key Responsibilities</b></p><ul><li>Acquire knowledge of programming procedures and standards.</li><li>Design, code, and test application software.</li><li>Modify existing software to reflect changes in functional requirements.</li><li>Code efficiently while adhering to established programming standards.</li><li>Prepare and maintain quality documentation to manage program development and revisions.</li><li>Prepare instructions and user documentation for users/operators.</li><li>Modify programs to increase operating efficiency.</li><li>Prepare test data and validate software for accuracy.</li><li>Perform other duties as assigned.</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Software Engineering, or related area.</li></ul><p><b>Required Skills and Competencies</b></p><ul><li>Software development with a focus on Object-Oriented Analysis and Design</li><li>Strong understanding of Object-Oriented Programming (OOP)</li><li>Java and Kotlin for Android development</li><li>Android SDK</li><li>REST, GraphQL, JSON</li><li>Unit testing and bug fixing</li><li>Knowledge of architecture patterns (MVC, MVP, etc.)</li><li>Android Studio</li><li>Testing tools such as Espresso and Postman</li><li>Ability to work accurately with legacy code</li><li>Ability to organize and delegate work to the team</li><li>Familiarity with Android frameworks</li><li>Familiarity with package managers such as CocoaPods, Carthage, and Swift Package Manager</li><li>Good attention to detail</li><li>Desire to build high-quality products for users</li><li>Willingness to learn new technologies</li><li>Previous supervisory experience</li><li>WebLogic experience</li></ul><p>Job Types: Full-time, Contract, Temporary</p><p>Work Location: In person</p>

Android Mobile Developer *4 Months Only Contract*

Crescent Energy

<div><p>Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines stable cash flows from low-decline production with a deep, high-quality development inventory.
</p><p></p><p>Crescent is a top three producer (by gross operated production) in the Eagle Ford basin. Crescent&rsquo;s leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise . For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet.
</p><p></p><p>The <b>Sr. Data Engineer- Upstream Oil &amp; Gas </b>is responsible for designing, building, and operating scalable, reliable, and secure data pipelines that support enterprise analytics, reporting, and advanced data use cases. This role is critical to enabling data-driven decision-making by ensuring trusted, high-quality data is available across operational, engineering, financial, and HSE domains.
</p><p></p><p>This position requires hands-on experience in upstream oil and gas and proven expertise working with enterprise-scale cloud data platforms, with Snowflake (or comparable platforms) as a core prerequisite. The Data Engineer will play a key role in advancing the company&rsquo;s cloud-based data platform and accelerating its journey toward becoming a data-driven, technology-enabled enterprise.
</p><div></div><p><b>Key Responsibilities:
</b></p><ul><li><p><b>Data Engineering &amp; Pipeline Development
</b></p><ul><li><p>Design, build, and maintain scalable, fault-tolerant ETL/ELT pipelines supporting structured and semi-structured data across upstream operational, engineering, financial, and ESG domains.
</p></li><li><p>Develop and operate data ingestion pipelines using Fivetran (or similar tools), including connector configuration, schema management, and change data capture (CDC) patterns.
</p></li><li><p>Engineer and maintain data pipelines within the Snowflake environment, ensuring reliability, performance, and cost efficiency.
</p></li><li><p>Monitor, troubleshoot, and remediate data pipeline failures, latency issues, and data inconsistencies in production environments.
</p></li><li><p>Implement logging, alerting, and basic observability for data pipelines to support operational reliability.
</p></li></ul></li></ul><p></p><ul><li><p><b>Data Transformation &amp; Medallion Architecture
</b></p><ul><li><p>Implement data transformations using dbt, applying modular, testable, and version-controlled transformation logic.
</p></li><li><p>Develop and maintain datasets aligned to a medallion architecture ensuring clear separation between raw, refined, and analytics-ready data layers.
</p></li><li><p>Apply data modeling best practices (dimensional, star schema, domain-oriented models) to support analytics and reporting use cases.
</p></li><li><p>Maintain documentation and tests within dbt to improve data transparency, lineage, and maintainability.
</p></li></ul></li></ul><p></p><ul><li><p><b>Analytics &amp; Reporting Enablement
</b></p><ul><li><p>Design and deliver standardized, production-grade dashboards and reports using Power BI and Spotfire.
</p></li><li><p>Work with business users to define KPIs, metrics, and reporting requirements, translating them into governed, scalable data models.
</p></li><li><p>Transition ad-hoc and spreadsheet-based reporting into certified, reusable analytics assets.
</p></li><li><p>Support semantic models and curated datasets that enable consistent, performant reporting across teams.
</p></li></ul></li></ul><p></p><ul><li><p><b>Data Quality, Governance &amp; Reliability
</b></p><ul><li><p>Implement automated data quality checks, validations, and reconciliation processes within data pipelines.
</p></li><li><p>Publish and maintain certified datasets and analytics-ready tables to support self-service consumption.
</p></li><li><p>Enforce metric consistency by aligning transformations and reporting logic to approved definitions and standards.
</p></li><li><p>Apply CI/CD, version control, and testing practices to data pipelines and dbt projects.
</p></li></ul></li></ul><p></p><ul><li><p><b>Business Partnership &amp; Enablement
</b></p><ul><li><p>Work directly with business analysts, operations users, and reporting consumers to clarify data requirements and troubleshoot issues.
</p></li><li><p>Support day-to-day data needs by delivering reliable datasets and reports aligned to defined standards and priorities.
</p></li><li><p>Provide technical input into data solutions while following established architecture, governance, and platform guidelines.
</p></li><li><p>Assist in onboarding users to certified datasets and reports, helping reduce dependency on ad-hoc data extracts.
</p></li></ul></li></ul><div></div><p><b>Qualifications &amp; Experience:
</b></p><ul><li><p><b>Education:
</b></p><ul><li><p>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field.
</p></li></ul></li><li><p><b>Technical Skills &amp; Experience:
</b></p><ul><li><p>5+ years data engineering/analytics experience.
</p></li><li><p>Experience with Power BI and Spotfire.
</p></li><li><p>Advanced SQL, dbt, Snowflake. Familiarity with medallion architecture CI/CD, and Git.
</p></li><li><p>Industry experience in <b>upstream oil and gas </b>is required, ideally with exposure to drilling, production operations, reserves, and regulatory reporting is required.
</p></li><li><p>Proven experience deploying and managing cloud data platforms with Snowflake expertise is essential.
</p></li><li><b>Willing to work on-site in our downtown office Monday-Friday
</b></li></ul></li><li><p><b>Skills &amp; Competencies:
</b></p><ul><li><p>Strong understanding of oil and gas data domains (e.g., wells, completions, SCADA, production volumes, reserves, HSE).
</p></li><li><p>Expertise in data modeling, data integration (ETL/ELT), cataloging, lineage tracking, and security best practices.
</p></li></ul></li></ul><p></p><p><b>Work Environment &amp; Physical Requirements:
</b></p><ul><li>Primarily office-based with occasional travel to field offices and operational sites as needed.
</li><li>Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
</li><li>May involve walking, climbing, bending, or handling equipment during site visits.
</li><li>Possible exposure to varying weather conditions (heat, cold, rain) while on-site at the field offices.
</li><li>Availability for emergency response and incident management, including after-hours support when required.
</li></ul><p></p><p><i>Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting </i><i>recruitment@crescentenergyco.com </i><i>.</i></p></div>

Senior Data Engineer – Upstream Oil & Gas

Explore 202+ Software engineer in Houston this March. Find roles across top companies and apply now to boost your career.