business analyst

data analyst

data entry analyst (entry-level) Jobs in Houston

data entry analyst (entry-level)

data software engineer iii- ml Jobs in Houston

data software engineer iii- ml

digital engineer

data scientist

<div>
 Position Description
 
 
 We are looking for candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.
 
 
 This role is located in Houston, TX. And is a hybrid role with 3 days onsite.
 
 
 The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions.
 
 
 Accountabilities:
 
 
 <ul>
 <li>
 Developing data science solutions to business challenges.
 </li>
 <li>
 Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.
 </li>
 <li>
 Integrating models into production on a weekly or even daily basis
 </li>
 <li>
 Work closely with the customer and the Product Owner day-to-day
 </li>
 <li>
 Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
 </li>
 <li>
 Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
 </li>
 <li>
 Learning new engineering practices, technologies and continuously improving our Agile practices
 </li>
 <li>
 Special Challenges:
 </li>
 <li>
 Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
 </li>
 <li>
 Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe
 
 
 </li>
 </ul>
 Skills &amp; Requirements:
 
 
 <ul>
 <li>
 Experience on data science projects.
 </li>
 <li>
 Broad experience and knowledge in Statistics, Machine Learning and data engineering.
 </li>
 <li>
 Awareness of issues in statistics and dependence on data quality
 </li>
 <li>
 A practical approach to problem solving and attention to detail.
 </li>
 <li>
 Passion for and expertise in practicing data science to solve real-world customer problems.
 </li>
 <li>
 Excellent oral and written communication skills.
 </li>
 <li>
 Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.
 </li>
 <li>
 High standards of code quality, making use of version control tools.
 </li>
 <li>
 Proficiency in statistical software packages such as R, Python, Matlab.
 </li>
 <li>
 Good knowledge of cloud environment like specifically Azure is required.
 </li>
 <li>
 Experience in Agile working methodology
 
 
 </li>
 </ul>
 #DICE
 
 
 Other Information:
 
 
 CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $109,500.00 - $138,600.00.
 
 
 CGI's benefits are offered to eligible professionals on their first day of employment to include:
 
 
 <ul>
 <li>
 Competitive compensation
 </li>
 <li>
 Comprehensive insurance options
 </li>
 <li>
 Matching contributions through the 401(k) plan and the share purchase plan
 </li>
 <li>
 Paid time off for vacation, holidays, and sick time
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Learning opportunities and tuition assistance
 </li>
 <li>
 Wellness and Well-being programs
 
 
 </li>
 </ul>
 Your future duties and responsibilities
 
 
 
 Required Qualifications To Be Successful In This Role
 
 
 
 
 Together, as owners, let&rsquo;s turn meaningful insights into action.
 
 
 
 Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;
 
 
 You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.
 
 
 Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
 
 
 You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
 Come join our team&mdash;one of the largest IT and business consulting services firms in the world.
 
 
 Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
 
 
 CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you.
 
 Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
 
 
 
 We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
 
 
 All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
 
 
 CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI&rsquo;s legal duty to furnish information.
 
 
</div>

Data Scientist

Tyndale Company, Inc.

<div>
 The Tyndale Company is seeking a
 
 Machine Learning Engineer
 
 to join our growing AI organization. This role will play a critical part in our mission to harness data for advanced AI and Machine Learning applications. You will collaborate with data scientists, data engineers and business stakeholders to own the full lifecycle of our ML models and Generative AI applications. This is an exciting opportunity to shape the foundation of our AI and Machine Learning efforts, driving impactful insights and innovations.
 
 
 
 HYBRID/REMOTE:
 
 Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely.
 
 To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).
 
 
 
 The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector &ndash; including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We&rsquo;re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We&rsquo;re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the Full Lifecyle: Own the full lifecycle of classical ML and GenAI features from prototypes to production. This includes rapid POCs, automated tests, containerisation, and production deployment through our AWS pipeline.
 </li>
 <li>
 RAG &amp; LLM work: Build retrieval-augmented generation services using vector stores (OpenSearch, Pinecone, PGVector, etc.), prompt-orchestration frameworks (LangChain / LlamaIndex), and fine-tuning or supervised-RL when off-the-shelf LLMs fall short.
 </li>
 <li>
 Create and maintain inference APIs: Design, implement, and document REST / GraphQL / SSE endpoints (FastAPI or AWS Lambda) so other teams and external partners can consume models with zero guess-work.
 </li>
 <li>
 Infrastructure-as-Code: Write and maintain Terraform / AWS CDK modules that one-click deploy training jobs, inference services, monitoring, and alerting.
 </li>
 <li>
 Feature engineering &amp; inference services: Design reusable feature pipelines in PySpark / Pandas on top of the lakehouse; expose real-time inference via FastAPI or AWS Lambda.
 </li>
 <li>
 Evaluation &amp; guardrails: Define offline and online evaluation matrices, set up hallucination/bias checks, and wire metrics into Grafana/DataDog.
 </li>
 <li>
 Cross-functional collaboration: Pair with the Senior Data Scientist on modelling strategy, the Data Engineer on schema evolution, and our CloudOps team on infrastructure tweaks&mdash;then demo real impact to business stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 Minimum of 4 years in ML Engineering, with at least 1 year building LLM or generative AI products in production.
 </li>
 <li>
 Pro-level Python; hands-on with PyTorch or TensorFlow/Keras; comfortable writing optimized SQL code.
 </li>
 <li>
 Familiar with LangChain/LlamaIndex, vector databases, and prompt-engineering strategies.
 </li>
 <li>
 Production experience on AWS (SageMaker, Bedrock, Lambda, Step Functions, ECS/EKS).
 </li>
 <li>
 Infrastructure-as-Code &ndash; hands-on with Terraform to codify everything: training pipelines, SageMaker endpoints, Lambda/Fargate deploys, monitoring alerts.
 </li>
 <li>
 API design &amp; implementation &ndash; proven experience exposing ML models through FastAPI, Flask, or equivalent REST/GraphQL/SSE frameworks, including auth, versioning, and OpenAPI docs.
 </li>
 <li>
 Solid software-engineering habits&mdash;CI/CD (GitHub Actions), code reviews, unit/integration testing.
 </li>
 <li>
 Ability to translate model metrics into plain-English business value.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Health &amp; Wellness : Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
 </li>
 <li>
 Work-Life Balance : Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
 </li>
 <li>
 Financial Compensation : Competitive salary, 401(k) with matching, and bonus opportunities.
 </li>
 <li>
 Career Growth &amp; Development : Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
 </li>
 <li>
 Culture &amp; Perks : Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.
 </li>
 </ul>
</div>

Machine Learning Engineer

ExxonMobil

<div>
 
 About Us
 
 
 At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
 
 
 The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
 
 
 We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about
 
 our What and our Why
 
 and how we can work
 
 together
 
 .
 
 
 
 About Houston
 
 
 ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
 
 
 By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.
 
 
 The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
 
 
 The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.
 
 
 
 About
 
 
 Learn more about what we do in Houston
 
 here
 
 
 .
 
 
 
 What role you will play in our team
 
 
 
 <ul>
 <li>
 A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data
 </li>
 <li>
 This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights
 </li>
 <li>
 This job will be located in Houston, TX
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 <ul>
 <li>
 Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends help create final displays of the results, often for formal presentations
 </li>
 <li>
 Build and manage data pipelines integrating structured and unstructured data sources
 </li>
 <li>
 Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
 </li>
 <li>
 Develop ETL processes and maintain application integrations across multiple systems and data sources
 </li>
 <li>
 Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production
 </li>
 <li>
 Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately
 </li>
 <li>
 Assist in compiling data for regulatory, financial, and accounting reporting
 </li>
 <li>
 Maintain up-to-date and accurate data analysis and tool documentation for reference purposes
 </li>
 <li>
 Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes
 </li>
 <li>
 Identify redundancies, automation opportunities, process inefficiencies and provide solutions
 </li>
 <li>
 Communicate, collaborate, and report with multiple departments &ndash; field operations, IT, accounting, data support groups, etc
 </li>
 <li>
 Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations
 </li>
 <li>
 Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies
 </li>
 <li>
 Mentor engineers/analysts within the team on data engineering and BI development techniques
 
 
 </li>
 </ul>
 
 About You
 
 
 <ul>
 <li>
 Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field
 </li>
 <li>
 Education should include mathematical and computer training
 </li>
 <li>
 5+ years experience in a technical role
 </li>
 <li>
 Advanced level of data handling skills to include data integration and creating reports
 </li>
 <li>
 Proficient working with relational databases and generating complex data visualizations
 </li>
 <li>
 Can modify established workflows and evaluate and assess errors as they arise
 </li>
 <li>
 Can interpret, understand, and explain workflows and data processes
 </li>
 <li>
 Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes
 </li>
 <li>
 Works under limited supervision
 </li>
 <li>
 Works with technical staff and professionals
 </li>
 <li>
 Experience with data visualization including Spotfire and PowerBI applications is required
 </li>
 <li>
 Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required
 </li>
 <li>
 Advanced proficiency in MS Office suite
 
 
 </li>
 </ul>
 
 Preferred Qualifications/ Experience
 
 
 <ul>
 <li>
 Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
 </li>
 <li>
 Subject Matter Expert within select functions applicable to Data Analyst role
 
 
 </li>
 </ul>
 
 Your Benefits
 
 
 
 An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
 
 
 
 
 We offer you:
 
 
 
 <ul>
 <li>
 Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
 </li>
 <li>
 Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match
 </li>
 <li>
 Comprehensive medical, dental, and vision plans.
 </li>
 <li>
 Culture of Health: Programs and resources to support your wellbeing.
 </li>
 <li>
 Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
 </li>
 <li>
 Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
 
 
 </li>
 </ul>
 More information on our Company&rsquo;s benefits can be found at www.exxonmobilfamily.com
 
 
 Please note benefits may be changed from time to time without notice, subject to applicable law.
 
 
 
 Stay connected with us
 
 
 
 Learn more at our
 
 website
 
 
 
 Follow us on
 
 LinkedIN
 
 and
 
 Instagram
 
 
 
 Like us on
 
 Facebook
 
 
 
 Subscribe our channel at
 
 YouTube
 
 
 
 
 Employer equal opportunity
 
 
 
 
 ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
 
 
 
 Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
 
 
 Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
 
 
 
 Job Id: 82322
 
</div>

Data Analyst

Crane Worldwide Logistics

<div>Essential Job Functions
<ul>
<li>Design and build data pipelines and platform features that work at scale</li>
<li>Own projects end-to-end, from scoping through production deployment</li>
<li>Contribute to architecture decisions and participate in design reviews</li>
<li>Support production systems through on-call rotations and incident response</li>
<li>Improve monitoring, alerts, and runbooks to keep things reliable</li>
<li>Collaborate across teams and share knowledge through code reviews, pairing, and documentation</li>
</ul>
Other Skills &amp; Abilities
<ul>
<li>Data warehouses: Snowflake, BigQuery, Redshift</li>
<li>Observability: Prometheus, Grafana, Datadog, PagerDuty</li>
<li>Data quality/governance tooling</li>
<li>Schema management: Schema Registry, Protobuf, Avro</li>
<li>Data cataloging: Datahub, Amundsen</li>
</ul>
Education &amp; Experience
<ul>
<li>Bachelor&rsquo;s degree required in a related analytical field.</li>
<li>Freight Forwarding background</li>
<li>minimum 7 years Business</li>
<li>Analysis experience</li>
<li>Languages: Python, F# or any other language; SQL; shell scripting</li>
<li>Streaming: Kafka, Redpanda, Kinesis</li>
<li>Batch: dbt, Spark, Airflow Cloud: AWS, GCP, or Azure</li>
<li>Databases: PostgreSQL, MySQL; familiarity with data lakes and columnar formats (Parquet, ORC)</li>
<li>Infrastructure: Kubernetes, Docker, Terraform</li>
<li>CI/CD: Git, GitHub, GitHub Actions</li>
</ul>
WHY SHOULD YOU WORK FOR CRANE?

At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:
<ul>
<li>Quarterly Incentive Plan</li>
<li>136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use</li>
<li>Excellent Medical, Dental and Vision benefits</li>
<li>Tuition Reimbursement for education related to your job</li>
<li>Employee Referral Bonuses</li>
<li>Employee Recognition and Rewards Program</li>
<li>Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities</li>
<li>Employee Discounts</li>
<li>Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates</li>
</ul>
Come join the leader in logistics and take your career in the right direction.

Disclaimer:

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.

This position requires the final candidate to successfully pass an E-Verify Check.

More Information: http://www.dhs.gov/e-verify

Company benefits are contingent upon meeting eligibility requirements and plan conditions.</div>

Sr. Data Engineer

Emonics LLC

<div>
 
 Job Overview:
 
 
 We are hiring a Data Analyst to transform data into actionable insights.
 
 
 
 
 Responsibilities:
 
 
 
 
 Analyze datasets and generate reports
 
 
 
 
 Create dashboards using BI tools
 
 
 
 
 Identify trends and patterns
 
 
 
 
 Present findings to stakeholders
 
 
 
 
 Requirements:
 
 
 
 
 Bachelor&rsquo;s degree in Statistics, Data Science, or related field
 
 
 
 
 Proficiency in Excel, SQL
 
 
 
 
 Experience with Tableau or Power BI preferred
 
</div>

Entry Level Data Analyst

JPMorganChase

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Data Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you will partner with Data Scientists to create cloud‑based frameworks for hosting and operating models, applying SDLC and MLOps best practices to ensure reliability, security, and performance. You will leverage both internal and public cloud platforms with a mix of proprietary and open‑source tools, collaborating closely with platform developers and engineering communities to integrate and evolve existing and new technologies
Job responsibilities
<ul><li>Develop and maintain secure, high-quality applications using Python and AWS</li><li>
Produce architecture and design deliverables; contribute to solution design and reviews</li><li>
Integrate AI/ML solutions into complex, domain-specific processing systems</li><li>
Participate in code reviews, design discussions, and agile planning ceremonies</li><li>
Collaborate with SRE and monitoring teams to ensure reliability, performance, and observability</li><li>
Contribute to engineering communities of practice and technology events</li><li>
Embrace continuous learning and creative problem-solving with a can-do mindset</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training in software engineering concepts and 3+ years of applied experience</li><li>
Hands‑on Python application development experience</li><li>
Proven experience developing, debugging, and maintaining production applications</li><li>
Solid understanding of software development best practices including version control, testing, and CI/CD</li><li>
Strong problem-solving, communication, and collaboration skills, with the ability to convey design choices and communicate effectively with stakeholders</li><li>
Familiarity with Machine Learning Operations (MLOps)</li><li>
Experience using AI engineering tools (e.g., GitHub Copilot) for JIRA, documentation, coding, and releases, demonstrating measurable productivity and quality improvements.</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>AWS (hands-on): Glue, EventBridge, Step Functions, Lambda, ECS, EKS, Kinesis, CloudWatch</li><li>
Outside AWS: Python, Terraform, TigerGraph, graph databases, GitHub Copilot, Airflow, Kubernetes</li><li>
JPMC platforms/tools (highly preferred): Jules/JET, GKP (Gaia Kubernetes), Fusion MLOps</li></ul>
ABOUT US 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Data Software Engineer III- ML

Principle Health Systems

<div><div><div>Laboratory Assistant</div><div></div><div> 
The Laboratory Assistant plays a vital support role in the clinical laboratory by handling and processing specimens, loading samples onto instruments, and assisting with general laboratory workflow. This role works under the supervision of a Licensed Clinical Laboratory Scientist and contributes to maintaining accurate and timely testing procedures.</div><h1 class="jobSectionHeader">
RESPONSIBILITIES</h1><div>
Under the supervision and direction of a Licensed Clinical Laboratory Scientist, the Laboratory Assistant may perform the following duties:</div><ul><li>
Properly route, handle, and process a variety of medical specimens in accordance with laboratory protocols</li><li>
Batch and prepare samples prior to instrument loading or handoff to technical staff</li><li>
Load patient samples and quality controls onto automated laboratory instruments</li><li>
Assist in notifying clients of critical values per laboratory policy and ensure appropriate documentation</li><li>
Archive specimens in the Laboratory Information System (LIS) and dispose of them according to specimen retention policies</li><li>
Monitor LIS backlogs at least every 30 minutes to identify and escalate delayed priority samples</li><li>
Adhere to all laboratory policies, procedures, safety guidelines, and quality assurance standards</li><li>
Support laboratory staff with miscellaneous tasks as needed to ensure smooth operation</li><li>
May be required to work weekends, holidays, overtime, or split shifts based on operational needs</li><li>
Perform other job-related duties as assigned by management</li></ul><h1 class="jobSectionHeader">
REQUIREMENTS</h1><ul><li>
High school diploma or GED required</li><li>
Associate of Science or Bachelor of Science degree from an accredited college or university preferred</li><li>
Minimum of two (2) years&rsquo; experience in a clinical laboratory setting preferred</li><li>
Familiarity with basic laboratory procedures</li><li>
Proficient with laboratory computer systems, analyzers, and communication tools</li></ul><h1 class="jobSectionHeader">
PHYSICAL/MENTAL REQUIREMENTS</h1><ul><li>
Ability to stand or sit for extended periods of time</li><li>
Ability to lift up to 25 pounds and perform repetitive movements (e.g., pipetting, specimen handling)</li><li>
Visual acuity and hand-eye coordination sufficient to operate laboratory instruments and process specimens</li><li>
Ability to work in a fast-paced, high-volume environment while maintaining accuracy</li><li>
Strong attention to detail and the ability to follow written and verbal instructions</li><li>
ability to manage stress and remain professional when dealing with urgent or sensitive matters</li></ul><div></div> 
We are an Equal Opportunity Employer and are committed to providing reasonable accommodations to individuals with disabilities. If you require accommodations during the application or interview process, please contact hradmin@principlehs.com.</div> 

Friday and Saturday 5:00pm-5:00am 
Part-time
 
Core Laboratory 
Shift differential 8pm-12am/12am-6am and weekends</div>

Laboratory Assistant (Fri & Sat 5pm-5am)

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