data analyst

data engineer

software engineer

data engineer ii

ai engineer

etl developer

Humana

<div><h1 class="jobSectionHeader">Become a part of our caring community 
</h1>
The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. 
The Lead Data Engineer partners closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves.
The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment.
The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement &mdash; improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities.
This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery.
Team Culture &amp; Expectations
On the Wisconsin Medicaid Market IT team, how you show up is as important as what you accomplish. We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders.<h1 class="jobSectionHeader"> 
Use your skills to make an impact 

</h1>Skills &amp; Capabilities
The ideal candidate blends deep data engineering fundamentals with the ability to lead through influence &mdash; setting direction, improving reliability, and guiding others' work (including contract resources) while staying hands-on.
Required Skills<ul><li>
SQL, ETL/ELT &amp; Data Platform Depth - Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments.</li><li>
Integration &amp; Interoperability Tooling (WI Market Reality) - Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint</li><li>
Modernization, Optimization &amp; Stabilization Mindset - Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance.</li><li>
Databricks / UDAP Growth Path (directional, not gatekeeping) - Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment.</li><li>
Execution Leadership - Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk. Experience creating detailed technical documentation to gain buy-in and drive decisions. Team operates in SAFe Agile practices.</li><li>
Vendor / Contract Resource Direction - Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability).</li></ul>
Preferred Skills<ul><li>
Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance</li><li>
AI Integration</li><li>
Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability</li><li>
Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts</li><li>
Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns</li><li>
Define and enforce data engineering standards aligned with enterprise direction.</li><li>
Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity</li></ul>
Additional Information
Work-At-Home Requirements<ul><li>
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.</li><li>
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.</li><li>
Satellite and Wireless Internet service is NOT allowed for this role.</li><li>
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information</li></ul>
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. 

$142,300 - $195,700 per year 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, &ldquo;Humana&rdquo;) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.<h1 class="jobSectionHeader"> 
About us 
</h1>
About Inclusa: Inclusa manages the provision of a person-centered and community-focused approach to long-term care services and support to Family Care members across the state of Wisconsin. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity&reg; which focuses on the belief in everyone, and from that belief, the common good for all is achieved. In 2022, Inclusa was acquired by Humana. This partnership will allow us to create a model of care that provides industry-leading support for members across the health care continuum.
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health &ndash; delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. 
 
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.</div>

Lead Data Engineer – Modernization & Reliability

Nomura

<div>
 
 Job title: Lead Software Engineer
 
 
 
 
 Corporate Title: Associate
 
 
 
 
 Department: Technology
 
 
 
 
 Location: New York, NY
 
 
 
 The pay range for this position at commencement of employment is expected to be between $120,000 and $140,000 per year.
 
 
 
 Company Overview
 
 
 
 Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East &amp; West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative soluti ons and considered thought leadership. For further information about Nomura, visit www.nomura.com .
 
 
 Aon&rsquo;s Benefit Index &reg; , Nomura&rsquo;s benefits
 
 rank
 
 
 #1
 
 amongst our competitors
 
 
 
 Department overview
 
 : CTS Core Corporate Services is responsible for delivering and supporting business applications across Human Resources, Audit, Legal, Business Resilience, and Real Estate in addition to offering cross-functional reporting and content management services
 
 
 
 Role Description
 
 
 
 The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Manage and support HR business applications, including problem resolution and issue ownership
 </li>
 <li>
 Design and develop ETL/ELT layer for HR data integration and ensure data quality and consistency
 </li>
 <li>
 Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance
 </li>
 <li>
 Develop and maintain data ingestion processes using Informatica, Python, and related technologies
 </li>
 <li>
 Support data analytics and data science initiatives with optimized data structures and AI/ML tools
 </li>
 <li>
 Manage vendor products and their integrations with internal/external applications
 </li>
 <li>
 Gather requirements and translate functional needs into technical specifications
 </li>
 <li>
 Perform QA testing and impact analysis across the BI ecosystem
 </li>
 <li>
 Maintain system documentation and knowledge repositories
 </li>
 <li>
 Provide technical guidance and manage stakeholder communications
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space.
 </li>
 <li>
 Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL Tools, advanced SQL and Python programming.
 </li>
 <li>
 Exposure to AI &amp; ML technologies and experience tuning models and building LLM integrations.
 </li>
 <li>
 Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics.
 </li>
 <li>
 Extensive database development experience in MS SQL Server/ Oracle and SQL scripting.
 </li>
 <li>
 Demonstrable working knowledge of tools in CI/CD pipeline primarily GitLab and Jenkins
 </li>
 <li>
 Proficiency in using collaboration tools like Confluence, SharePoint, JIRA
 </li>
 <li>
 Analytical skills to model business functions, processes and dataflow within or between systems.
 </li>
 <li>
 Strong problem-solving skills to debug complex, time-critical production incidents.
 </li>
 <li>
 Good interpersonal skills to engage with senior stakeholders in functional business units and IT teams.
 </li>
 <li>
 Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data model would be a plus.
 </li>
 <li>
 base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
 
 
 </li>
 </ul>
 If hired, employee will be in an &ldquo;at-will position&rdquo; and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors&rdquo;.
 
 
 Nomura is an Equal Opportunity Employer
</div>

Associate - Data Engineer

CapNexus

<div>
 
 
 Capnexus
 
 
 is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require.
 
 
 
 Who You Are and What You'll Do:
 
 
 
 
 
 Capnexus
 
 
 is looking for a highly skilled
 
 Senior AWS Data Engineer
 
 to lead data architecture, pipeline development, and ERP integration for a 12-week AI-powered modernization engagement in the construction industry. This role is focused on designing and implementing the data engineering backbone of an intelligent subcontractor pre-qualification platform, including CMIC ERP API integration, Amazon Textract data extraction pipelines, ETL development using AWS Glue, and data quality validation. This is an exciting opportunity to apply advanced cloud data engineering skills on a platform that leverages generative AI to automate and modernize enterprise workflows.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Lead data architecture design, API assessment, and ETL requirements gathering during the Discovery &amp; Design phase.
 </li>
 <li>
 Develop and configure CMIC ERP API integration to establish reliable data exchange between the ERP system and the AWS platform.
 </li>
 <li>
 Design and implement data pipelines using AWS Glue for ETL processing of subcontractor documents and ERP data.
 </li>
 <li>
 Integrate Amazon Textract to extract structured data from insurance certificates, bonding letters, and financial documents.
 </li>
 <li>
 Build and maintain data models to support AI-powered validation, risk profiling, and executive reporting.
 </li>
 <li>
 Configure Amazon S3 data lake architecture to store and manage raw, processed, and curated data assets.
 </li>
 <li>
 Implement AWS Lambda and AWS Step Functions to orchestrate data workflows and automated processing pipelines.
 </li>
 <li>
 Develop and expose data through Amazon API Gateway to support application and dashboard consumption.
 </li>
 <li>
 Ensure data quality, validation, and integrity across all integration points and pipeline outputs.
 </li>
 <li>
 Conduct data integration testing and support user acceptance testing (UAT) for data-dependent features.
 </li>
 <li>
 Collaborate with Full Stack, AI/ML, and DevOps team members to ensure seamless end-to-end data flows.
 </li>
 <li>
 Contribute to knowledge transfer documentation, data pipeline runbooks, and operations guides.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5+ years of data engineering experience, with at least 2+ years working in AWS cloud environments.
 </li>
 <li>
 Strong proficiency in SQL and experience with AWS database services including RDS, DynamoDB, and Aurora.
 </li>
 <li>
 Hands-on experience with AWS Glue for ETL development and data pipeline orchestration.
 </li>
 <li>
 Experience integrating with ERP systems or enterprise APIs, with ability to assess and document API capabilities.
 </li>
 <li>
 Working knowledge of Amazon Textract for automated document data extraction.
 </li>
 <li>
 Proficiency with Amazon S3 for data lake design, storage management, and lifecycle policies.
 </li>
 <li>
 Experience with AWS Lambda and AWS Step Functions for serverless data workflow orchestration.
 </li>
 <li>
 Solid understanding of data modeling, data quality validation, and integration testing practices.
 </li>
 <li>
 Familiarity with Amazon API Gateway for exposing data services to downstream consumers.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills with the ability to work in Agile/Scrum teams.
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Experience with Amazon Bedrock or AI/ML-integrated data pipelines.
 </li>
 <li>
 Familiarity with CMIC ERP or similar construction industry enterprise resource planning systems.
 </li>
 <li>
 Experience with GraphQL APIs or AWS AppSync.
 </li>
 <li>
 Knowledge of TypeScript or Python for pipeline scripting and Lambda function development.
 </li>
 <li>
 AWS Certification (Data Analytics Specialty, Database Specialty, or Solutions Architect).
 </li>
 <li>
 Background in construction, insurance, or financial services industries.
 
 
 </li>
 </ul>
 
 "Our Culture":
 
 
 
 At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are:
 
 
 
 "A Customer Obsessed, Delivery Focused, Culture"
 
 
 
 <ul>
 <li>
 We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise
 </li>
 <li>
 We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME
 
 
 </li>
 </ul>
 
 "A Culture of Learning and Sharing"
 
 
 
 <ul>
 <li>
 We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge.
 </li>
 <li>
 Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities.
 </li>
 <li>
 We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach.
 </li>
 <li>
 Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially.
 
 
 </li>
 </ul>
 
 "A Culture of Growth and Scalability"
 
 
 
 <ul>
 <li>
 Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way.
 </li>
 <li>
 The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding.
 </li>
 <li>
 Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time.
 
 
 </li>
 </ul>
 
 "All Work is Strategic"
 
 
 
 <ul>
 <li>
 No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow
 </li>
 <li>
 Every task, interaction, and commitment matters
 </li>
 <li>
 Big or small, we execute our plans and strategies with focus, commitment, and passion
 
 
 </li>
 </ul>
 
 We offer:
 
 
 
 Job Type: Full-time, 1099
 
 
 Duration: Short-term
 
 
 
 Benefits:
 
 
 
 <ul>
 <li>
 Remote work
 
 
 </li>
 </ul>
 
 
 Capnexus
 
 
 is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you.
 
 
 
 No Agencies Please!
 
</div>

Senior Data Engineer (AWS)

VERVE GROUP

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experience
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Some company benefits include
<ul>
<li>Competitive salary</li>
<li>Health, dental, and vision insurance, plus mental health resources</li>
<li>401(k) match and generous PTO</li>
<li>Hybrid work environment (NYC office)</li>
<li>Free lunch for onsite team members in NYC</li>
<li>Volunteer Opportunities</li>
<li>Opportunities for professional development in a high-growth ad tech company</li>
</ul>
Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week.

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

Data Engineer

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This is a fully remote, 40-hour per week contract position with the opportunity to shape the future of advertising technology. This position is a contract role and can work remotely anywhere in the US or outside of the US. They should be willing and open to collaborate with our US based engineering team during their business hours.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experiences
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Hourly Rate: $30-50/hour

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

Data Engineer (Remote / Contract)

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. 
 
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients. 
 
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support. 
 
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources. 
 
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts. 
 
Key job responsibilities 
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs 
 
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools 
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements 
 
Automate and optimize reporting processes to enable self-service analytics for stakeholders 
Translate business problem statements into technical analysis requirements 
 
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions 
Develop measurement frameworks that quantify customer experience and drive business outcomes 
 
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs 
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques 
 
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation 
 
Troubleshoot operational data quality issues and audit existing data pipelines and queries 
 
Recommend improvements to back-end data sources for increased accuracy and simplicity<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, AWS GDSP A&I

4C Insights (part of Innovid by Mediaocean)

<div>
 Back to jobs
 
 
 Data Engineer
 
 
 Buenos Aires
 
 
 
 Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry&rsquo;s core ad infrastructure for omnichannel planning, buying, and billing.
 
 
 
 
 &zwj;
 
 
 
 
 We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
 
 
 
 We're looking for a top-notch, passionate Data Engineer in Argentina with an interest in translating business goals into concrete solutions. The
 
 Data Engineer
 
 provides technology solutions by architecting and developing enterprise systems using a variety of programming languages, tools, and platforms. This can range from building data platforms, data warehouses and web applications, to implementing reporting platforms.
 
 
 
 The Impact You'll Make
 
 
 
 <ul>
 <li>
 Design, develop and maintain complex data pipelines and systems to process large volumes of data
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality
 </li>
 <li>
 Architect data solutions that are scalable, reliable, and secure, and meet business requirements
 </li>
 <li>
 Develop and maintain data models, ETL processes, and data integration strategies
 </li>
 <li>
 Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security
 </li>
 <li>
 Create visualizations and reports to communicate insights to stakeholders across multiple data streams
 </li>
 <li>
 Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance
 </li>
 <li>
 Work with other teams to ensure teamwork and timely delivery of client projects
 
 
 </li>
 </ul>
 
 What You'll Bring To Us
 
 
 
 <ul>
 <li>
 +2 years of experience in a Data Engineering capacity
 </li>
 <li>
 Strong experience with SQL
 </li>
 <li>
 Experience designing, building, and maintaining ETL/ELT pipelines.
 </li>
 <li>
 Hands-on expertise with Apache Spark - is highly valued
 </li>
 <li>
 Experience working with dbt for data transformation, modeling and testing - is highly valued
 </li>
 <li>
 Experience working in the cloud environments (AWS, Azure, GCP)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related discipline
 </li>
 <li>
 Advanced English (speaking, reading, writing, and listening)
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Understanding of Apache Iceberg or modern data lake technologies
 </li>
 <li>
 Experience with batch processing at scale
 </li>
 <li>
 Experience with any of Snowflake, Databricks, Redshift or BigQuery
 </li>
 <li>
 Workflow orchestration tools (Argo Workflows, Airflow, Dagster, or similar)
 </li>
 <li>
 Testing and data quality frameworks
 
 
 </li>
 </ul>
 
 What We'll Offer You
 
 
 
 <ul>
 <li>
 Unlimited Vacations
 </li>
 <li>
 Monthly Inflation updates
 </li>
 <li>
 Lunch Credit
 </li>
 <li>
 OSDE 410 as medical insurance
 </li>
 <li>
 English lessons
 </li>
 <li>
 Gym coverage
 </li>
 <li>
 Internet coverage
 </li>
 <li>
 1 extra paid month for primary &amp; secondary birthing caregivers
 </li>
 <li>
 Learning &amp; Development - Tools and Training
 </li>
 <li>
 Hybrid &amp; flexible working model - nice offices in Parque Chas with endless snacks &amp; beverages
 </li>
 <li>
 Pet friendly office
 </li>
 <li>
 High visibility roles with a tremendous amount of growth potential
 </li>
 <li>
 Global team and cross-company collaboration unlike anywhere else
 
 
 </li>
 </ul>
 There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.
 
 
 Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.
 
 
 If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.
 
 
 Create a Job Alert
 
 
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</div>

Data Engineer
Buenos Aires

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