Role Description At Vantage, the Data Engineer is mainly responsible for ingesting and transforming replicated source data into data products that are easily consumed by the Reporting team and other downstream users. The role requires an expertise in Data Modeling and Data Pipeline development within an Analytical, column-oriented data warehouse. This role reports to our Data Engineering Lead and is a remote opportunity/hybrid opportunity where the candidate is in a commutable distance to one of Vantage’s office locations, with a preferred location in New York or Chicago. The base salary expectation for this role is between $120,000 - $160,000. Additionally, Vantage offers its colleagues performance-based bonus potential, strong health & welfare benefits, retirement plans with company match, competitive time off plans, a highly flexible work environment, and much more. Responsibilities & Accountabilities - Translate requirements and data mapping documents into a technical design. - SQL development using dbt. - Pipeline development using dagster. - Talent for identifying the specific records that are produced from SQL bugs. - Debug and troubleshoot issues found during testing or production. - Communicate project status, issues, and blockers with the team. - Contribute to continuous improvement by identifying and addressing opportunities. Qualifications - Bachelor’s degree in computer science or equivalent professional experience required. - Minimum of 5 years of experience in ELT development within a Data Warehouse. - Minimum of 5 years working with Dimensional Data Modeling, such as Kimball, Data Vault, or Medallion Architecture. - Strong familiarity with dbt and dagster/airflow. - Good working knowledge of distributed data and Kubernetes. - Expertise in data modeling using append-only replication methods to produce point-in-time data marts. - Strong understanding of test-driven development applied to Enterprise Data. - Strong familiarity with git and CI best practices. - Expertise in Python and SQL. - Expertise in column-oriented SQL modeling. - Experience in P&C Insurance or Financial Services Industry is a plus. - Ability to process and adapt to change in a rapid growth company environment. Our Vantage Values - Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities. - Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined. - We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally. - Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself. - Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.

Role Description This role is for you if you enjoy building real data solutions end-to-end — not just one piece of the puzzle. At NIVA Health, we’re growing our data capability and looking for a Full-Stack Data Engineer who’s comfortable working across the full data lifecycle: - Pulling data in, cleaning it up, building pipelines — all the way through to dashboards and usable insights. - Working on the back end and the front end of data, alongside a collaborative team, solving practical problems that impact healthcare operations every day. What you’ll be working on: - Designing, building, and maintaining data solutions that power reporting and decision-making across the business. - Building and maintaining data pipelines using Google Cloud Platform (BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler). - Cleaning, transforming, and organizing data from multiple sources (APIs, spreadsheets, internal systems). - Automating ETL / ELT workflows to improve reliability and efficiency. - Writing Python (and some Bash) scripts to support data processing and internal tools. - Building and maintaining dashboards and KPI reports using Looker Studio (and supporting data visualization needs). - Preparing datasets for simple predictive or forecasting use cases as the team evolves. This is a hands-on role — you’ll be writing code, fixing issues, improving pipelines, and seeing your work used by real teams. Qualifications - 2+ years’ experience in data engineering, analytics engineering, data science, or software engineering. - Comfortable working with GCP, especially BigQuery. - Confident in using Python for data processing and automation. - Solid SQL skills and understanding of data modeling basics. - Experience building or maintaining data pipelines (batch or streaming). - Experience with dashboards or BI tools (Looker / Looker Studio preferred). - Enjoy working across both technical backend tasks and user-facing reporting. Nice to have - Experience with Apache Airflow / Cloud Composer. - Exposure to Apache Beam. - Familiarity with Vertex AI, AutoML, or basic ML workflows. - Experience supporting operational or healthcare data. Salary $1500 - $1800. Final offer will depend on experience and technical depth.

Role Description Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely: - Stable Internet connection - Work can be done using the following: Phone device, laptop or computer - Must be able to type accurately with a minimum speed of 30 words per minute - Able to focus on tasks without being distracted - Must be resident of the US - Not afraid of emailing clients as needed - Must be 16 years of age or older - Must be proficient with basic PC skills - Must have an internet connection - Basic English written language - Basic English spoken language Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more. Qualifications - Dependable and able to work from home without distraction Requirements - Must be able to type accurately with a minimum speed of 30 words per minute - Stable Internet connection - Work can be done using the following: Phone device, laptop or computer - Able to focus on tasks without being distracted - Must be resident of the US - Not afraid of emailing clients as needed - Must be 16 years of age or older - Must be proficient with basic PC skills - Must have an internet connection - Basic English written language - Basic English spoken language Benefits - Flexible work from home position - Pay range from $16 to $30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Company Description Thank you for your interest!

Job Title: ESG Testing About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: - A strong focus on delivering high-quality work within tight deadlines, and the ability to work independently. - Design, develop and execute comprehensive ETL test cases and SQL queries on large data sets based on business and technical requirement documents, prepare traceability matrix - Execute manual and automated test cases, analyze test results to identify, document, track and report defects, where applicable collaborate with developers to ensure timely resolution for them. - Strong SQL skill for data validation, transformation, and troubleshooting is must - Well versed with data warehousing concepts and architecture. - Hands-on experience with test management and documentation tools (e.g. Jira, Confluence) - Hands-on experience with cloud platforms (e.g. GCP, AWS) - Familiarity with reporting and data visualization tools (like Looker, Power BI) - Familiarity with change management framework: Ability to quickly familiarize yourself with HSBC’s change management framework for testing.