big data engineer

THEMESOFT

<div>Hello, 

I hope you are having a great day. 

My name is Manikandan Ravi, working as a Account Manager with Themesoft, a consulting company 

We have a job requirement with a leading company which may interest you. 

I have shared the requirement details below for you. 

It would be great If I get a chance to connect with you and share more information about the job. 

If interested, please let me know a good time and number to reach out to you and I will be glad to explain more on this job. 

Data Engineer
LOCATION - (Preferred) CHANDLER, CHARLOTTE, MINNESOTA, LAS COLINAS
Contract
Hybrid
229597-1
12+ Months 

Job Description:
<ul>Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc. Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 3 plus years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
</ul>Must Have:
<ul>GCP - 5 to 6 years. AI exposure - 6 months to a year Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 3 plus years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
</ul>In this role candidates will:
<ul>Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc. Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority</ul> 
Thank you for taking the time to read this email.</div>

Data Engineer

BV Teck

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: Data Platform Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000&ndash;$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an experienced Data Platform Engineer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. 
 
Required Qualifications<ul><li>
5+ years of professional experience designing and operating big-data pipelines on Hadoop.</li><li>
Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.</li><li>
Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.</li><li>
Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.</li><li>
Strong SQL skills and experience working with both relational and NoSQL data stores.</li><li>
Experience with workflow orchestration tools such as Airflow or Oozie.</li><li>
Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.</li><li>
Strong scripting skills in Python or Shell.</li><li>
Excellent troubleshooting, debugging, and documentation skills.</li></ul>
Preferred Qualifications<ul><li>
Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.</li><li>
Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi).</li><li>
Exposure to data governance tooling such as Apache Atlas or Collibra.</li><li>
Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino).</li><li>
Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.</li></ul>
How to Apply 
Would you like to know more about this opportunity? 
For immediate consideration, please send your resume to jaya@bvteck.com or contact us at (908) 505-3545. Learn more about Bright Vision Technologies at www.bvteck.com. 
Bright Vision Technologies is an Equal Opportunity Employer. 
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
arX7ZI1Seu</div>

Data Platform Engineer

Booz Allen Hamilton

<div>The Opportunity:
Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions&mdash;from fraud detection to cancer research to national intelligence.
As a big data engineer at Booz Allen, you&rsquo;ll implement data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you&rsquo;ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You&rsquo;ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use big data for good.
Join us. The world can&rsquo;t wait.
You Have:
<ul><li>5+ years of experience in Spark development, including PySpark or Java Spark
</li><li>5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
</li><li>5+ years of experience with big data and building ETL pipelines to efficiently process petabyte scale data
</li><li>Experience with modeling complex data structures of varied formats
</li><li>Experience with distributed data and computing tools, including Spark, AWS, or Kafka
</li><li>Experience creating solutions within a collaborative, cross-functional team environment
</li><li>Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
</li><li>TS/SCI clearance with a polygraph
</li><li>Bachelor&rsquo;s degree
</li></ul>Nice If You Have:
<ul><li>Experience with large-scale NoSQL databases such as Cassandra
</li><li>Experience with large-scale Postgres databases
</li><li>Experience with graph databases, graph data modeling, and optimizing graph traversals
</li><li>Experience with containerization technology such as Docker or Kubernetes
</li><li>Experience with Agile engineering practices
</li></ul>Clearance :
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided .
Work Model
 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
<ul><li>Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
</li><li>Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
</li><li>Onsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
</li></ul>Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Spark Data Engineer, Senior

<div>Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: Senior Data Engineer - Hadoop 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $145,000&ndash;$165,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary: 
We are seeking an experienced Senior Data Engineer - Hadoop to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical discipline.</li><li>
Five or more years of professional experience designing and operating big-data pipelines on Hadoop.</li><li>
Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments.</li><li>
Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem.</li><li>
Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink.</li><li>
Strong SQL skills and experience working with both relational and NoSQL data stores.</li><li>
Experience with workflow orchestration tools such as Airflow or Oozie.</li><li>
Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance.</li><li>
Strong scripting skills in Python or Shell.</li><li>
Excellent troubleshooting, debugging, and documentation skills.</li></ul> 

Preferred Qualifications<ul><li>
Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks.</li><li>
Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi).</li><li>
Exposure to data governance tooling such as Apache Atlas or Collibra.</li><li>
Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino).</li><li>
Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows.</li></ul> 

How to Apply 
 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
JxCmcU9X4b</div>

Senior Data Engineer – Hadoop

LTM Limited

<div>Role description 
Job Title: AWS Pyspark Developer

Work Location : Irving,Texas

Job Summary 

<ul>
<li>We are seeking a highly skilled and motivated AWS Certified Engineer to design build and optimize scalable data solutions within the Amazon Web Services AWS ecosystem The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts including Hive and modern table formats like Iceberg This role involves developing deploying and managing robust efficient and secure data pipelines and analytics solutions on AWS leveraging core networking and compute services</li>
</ul>
 Responsibilities
<ul>
<li>AWS Solution Design Implementation Design develop and deploy scalable and costeffective data solutions on AWS leveraging services such as S3 for data lakes EC2 EMR Glue Athena Lambda Redshift and Kinesis</li>
<li>Data Pipeline Development Build and maintain robust ETLELT data pipelines using PySpark for data ingestion transformation and loading into various data stores including those utilizing open table formats like Iceberg</li>
<li>Big Data Processing Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue handling large datasets efficiently and integrating with Iceberg table formats</li>
<li>Data Warehousing Design implement and manage data warehousing solutions including schema design data modeling and query optimization with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries</li>
<li>Cloud Infrastructure Networking Implement secure and robust cloud infrastructure components including VPCs subnets routing and security groups to ensure proper connectivity and isolation for data solutions</li>
<li>Containerized Workloads Design deploy and manage containerized data processing applications on Amazon Elastic Kubernetes Service EKS</li>
<li>Performance Tuning Optimization Optimize AWS resources and big data applications Spark Hive Iceberg for performance cost and efficiency</li>
<li>Data Governance Security Implement best practices for data security access control and compliance within AWS including IAM policies S3 bucket policies and encryption</li>
<li>Monitoring Troubleshooting Set up monitoring ing and logging for data pipelines and AWS infrastructure troubleshoot and resolve issues promptly</li>
<li>Automation Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning deployment and operational tasks</li>
<li>Collaboration Work closely with data scientists analysts and other engineering teams to understand data requirements and deliver reliable data solutions</li>
</ul>
Required Skills , Qualifications
<ul>
<li>AWS Certification Hold at least one AWS certification eg AWS Certified Solutions Architect Associate AWS Certified Data Analytics Specialty AWS Certified Developer Associate</li>
<li>AWS Services Expertise Handson experience with key AWS services for data processing and storage including</li>
<li>Storage S3 for data lakes EC2</li>
<li>Data Processing EMR Glue Athena Lambda</li>
<li>Networking VPC Subnets Routing Security Groups</li>
<li>Containerization EKS</li>
<li>Big Data Processing Strong proficiency in PySpark for developing complex data transformations and analytics</li>
<li>Data Lake Table Formats Practical experience with Apache Iceberg for managing and querying data lakes</li>
<li>Data Warehousing Indepth knowledge and practical experience with Apache Hive for data storage querying and schema management</li>
</ul>
Programming Languages
<ul>
<li>Python Expertlevel proficiency in Python for scripting data manipulation and AWS automation Boto3</li>
<li>Shell Scripting Proficient in shell scripting for automation and operational tasks</li>
<li>Database SQL Strong SQL skills for data querying and manipulation</li>
<li>Data Concepts Solid understanding of ETLELT processes data modeling distributed computing and data governance</li>
<li>Good to Have Skills</li>
<li>Containerization Orchestration Experience with Kubernetes for deploying and managing containerized applications</li>
<li>CICD Experience with CICD tools and practices eg AWS CodePipeline GitHub Actions GitLab CI for automating deployment of data solutions</li>
<li>Orchestration Experience with workflow orchestration tools like Apache Airflow</li>
<li>Version Control Proficient in using Git for source code management</li>
<li>Other Big Data Technologies Exposure to other big data technologies like Apache Kafka Flink or Presto</li>
<li>Certifications</li>
<li>AWS Certified Solutions Architect AssociateProfessional</li>
<li>AWS Certified Data Analytics Specialty</li>
<li>AWS Certified Developer Associate</li></ul> 
Skills 
Mandatory Skills : Apache Spark, Big Data Hadoop Ecosystem, Python, Python for DATA, SparkSQL 
 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $79,851.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Senior Data Engineer

Chargie

<div>Description:
<ul><li>Work Location Note - Open to national candidates who would work remotely if not in LA area</li></ul>
Strategic Imperative
Chargie is a leading provider of intelligent, intuitive, and reliable electric vehicle charging solutions for modern commercial buildings, multifamily communities, and the growing number of EV drivers. Our vision is to create infrastructure that powers communities in the all-electric future. We are seeking a talented and motivated Senior Data &amp; Backend Engineer to join our team and play a key role in a fast-paced startup environment. If you&rsquo;re passionate about the EV revolution, we&rsquo;d love to hear from you! Apply today to join Chargie and contribute to building a sustainable future.
About the Role
As a Senior Data &amp; Backend Engineer, you will stand up and support the data platform that powers analytics, BI reporting, and operational visibility across one of the fastest-growing EV charging networks in the country &mdash; while also being able to step directly into backend development when the team needs additional support.
This is a hybrid role at the intersection of data engineering and backend software engineering. You will own the design, build-out, and ongoing support of data pipelines and big-data infrastructure, while remaining hands-on enough to contribute to API development, debug production issues, and support backend services alongside the core engineering team. You will operate with a high degree of autonomy in a lean, high-impact team, directly shaping how data flows, is modeled, and is surfaced to the business.
Beyond platform reliability, this role is an opportunity to help shape how AI is applied across the engineering organization. We are actively looking to leverage AI-powered tooling to improve internal scale, efficiency, and operational workflows &mdash; and this person will be a hands-on contributor to that effort.
Key Responsibilities<ul><li>
Design, build, and support scalable data pipelines and big-data platform infrastructure, from ingestion through transformation to reporting layers.</li><li>
Own data architecture and modeling decisions that support analytics, BI reporting, and operational tooling across the organization.</li><li>
Build and maintain BI/reporting layers and dashboards for internal stakeholders and leadership, using tools such as Power BI (Microsoft Fabric experience a plus).</li><li>
Step into Node.js backend development and production support as needed &mdash; contributing to internal GraphQL APIs and RESTful/event-driven services alongside the core engineering team.</li><li>
Design and maintain integrations with third-party platforms, vendor APIs, and IoT/OCPP-based EV charging infrastructure systems.</li><li>
Build and support integrations with business systems (e.g., Zoho, Atlassian, NetSuite) to connect engineering, operations, and business data.</li><li>
Support external reporting to vendors and utilities as this area of demand grows, providing additional coverage alongside the engineering team (a plus).</li><li>
Support and improve AWS infrastructure relevant to data and backend services, including deployment pipelines, monitoring, and cost optimization.</li><li>
Partner with engineering leads, product, and operations teams to define and deliver features supporting network management, customer experience, and enterprise integrations.</li><li>
Establish and uphold quality standards including code review, documentation, testing practices, and CI/CD integration across both data and backend workstreams.</li><li>
Leverage AI-assisted development tools (e.g., Claude, Cursor AI) to accelerate development velocity, improve code quality, and explore AI-powered capabilities within the product.</li></ul>
Requirements:

Qualifications<ul><li>
Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience).</li><li>
5+ years of experience spanning data engineering and backend software engineering, with a track record of standing up and supporting big-data platforms.</li><li>
Strong SQL skills and hands-on experience with relational databases, data modeling, schema design, and ETL/data pipeline development.</li><li>
Required: hands-on experience with AWS (Lambda, RDS, S3, SQS, API Gateway, or similar) and cloud-native data/backend architecture.</li><li>
Required: working proficiency in Node.js, with the ability to contribute to and support production backend services.</li><li>
Experience building and consuming GraphQL APIs; comfortable working with REST as well, particularly for external-facing reporting and integrations.</li><li>
Experience building or maintaining BI/reporting layers; Power BI experience preferred, Microsoft Fabric experience a plus.</li><li>
Experience integrating with business systems such as Zoho, Atlassian (Jira/Confluence), or NetSuite is a plus.</li><li>
Experience with Splunk and machine learning (ML) is a plus.</li><li>
Preferred (not required): experience with CI/CD pipelines and modern DevOps practices, including tools such as Bitbucket, Jenkins, and Argo.</li><li>
Experience with external reporting to vendors and/or utilities (e.g., regulatory or utility data submissions) is a plus.</li><li>
Experience with or strong interest in AI-assisted development tools and integrating AI/LLM capabilities into data and backend workflows.</li><li>
Strong system-level thinking, problem-solving, and debugging skills across distributed data and backend environments.</li><li>
Self-directed, ownership-oriented, and comfortable with ambiguity; able to operate with a high degree of autonomy in a resource-constrained startup environment.</li></ul>
All positions within Chargie require the following (unless otherwise specified or required for the job):<ul><li>
Sit up to 5 hours per day</li><li>
Stand up to 5 hours per day</li><li>
Lift, carry, push up to 25 lbs.</li><li>
Ability to travel as required</li><li>
Ability to listen, read, organize thoughts, analyze, and communicate (both in verbal and written form, in English, in a concise and professional manner).</li><li>
Ability to type on a keyboard and utilize the computer work tools constantly and with proficiency (specifically the MS Office Suite)</li><li>
Timely communication and responsiveness to peers and management</li><li>
Regular and consistent attendance to work and meetings</li><li>
Ability to receive and offer feedback in a professional and positive manner</li><li>
Adherence to company policy and behavior in accordance with our values and norms.</li></ul></div>

Senior Data & Backend Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities<ul><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, deliver speed, and operation outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patters and automation within the SDLC/TLM toolchain</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale</li><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls</li><li>
Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations</li><li>
Migrate legacy an big data applications at Cloud native applications with zero downtime</li><li>
Drives decisions that influence the product design, application functionality, and technical operations and processes</li><li>
Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports</li><li>
Influences peers and project decision-makers to consider the use and application of leading-edge technologies</li><li>
Adds to the team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, deliver speed, and operation outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patters and automation within the SDLC/TLM toolchain</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale</li><li>
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors</li><li>
Good knowledge of Machine Learning modelling as an engineer</li><li>
Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Advanced knowledge of application, data, and infrastructure architecture disciplines, and working in software development, OOPS and SDLC</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Practical cloud native experience</li></ul>
<div>Preferred qualifications, capabilities, and skills</div><ul><li><div>
AWS certifications (e.g. Solutions Architect Associate)</div></li><li><div>
Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations</div></li><li><div>
Experience with building Data Pipelines in Spark, Tuning Spark queries</div></li><li><div>
Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)</div></li><li><div>
Working knowledge with Big Data platforms (i.e., Hadoop preferred)</div></li><li><div>
Experience in Cloud Technologies (i.e., AWS - Databricks preferred)</div></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'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' and employees' 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
 
 
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'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Senior Lead Software Engineer - Data / Machine Learning Operations

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