data pipeline engineer

Sunset

<div>
 
 About Sunset
 
 
 
 Sunset is building the data layer for real-world AI training. We work with frontier labs to turn messy, multi-modal enterprise data into the highest-quality training data on the market &mdash; sourced from the hundreds of venture-backed startups we've helped wind down.
 
 
 We're a fast-growing team based in-person in Dumbo, Brooklyn. Backed by Floodgate, Afore Capital, Hustle Fund, and incredible entrepreneurs.
 
 
 
 The Role
 
 
 
 As a Data Engineer at Sunset, you'll own the pipeline that turns raw, chaotic enterprise data into the highest-quality training data on the market. One of our core technical challenges is entity resolution and de-identification across different sources and modalities. An even deeper challenge is understanding the node structures and linkages well enough to effectively reconstruct the business world this data comes from. All of this happens on sensitive data, which means security and privacy aren't a separate workstream but are built into every pipeline, system, and decision we make.
 
 
 
 What You'll Work On
 
 
 
 You'll own problems end-to-end. Some examples of what you might tackle in your first 90 days:
 
 
 <ul>
 <li>
 Designing the de-identification layer that replaces PII with stable pseudonyms while preserving every relationship across every source
 </li>
 <li>
 Building coreference resolution across Slack threads, email chains, and Linear comments so that "me," "him," and first-name mentions all resolve to the right canonical entity
 </li>
 <li>
 Hardening how we ingest, store, and process sensitive client data &mdash; from encryption and access controls to audit trails and isolation boundaries
 </li>
 <li>
 Extending our entity resolution pipeline to handle new modalities &mdash; think audio, video, design files, or embedded references inside documents
 
 
 </li>
 </ul>
 
 You Might Be a Fit If
 
 
 
 <ul>
 <li>
 You are a product minded engineer and have shipped data pipelines at scale
 </li>
 <li>
 You have strong Python and are comfortable across NER, record linkage, and coreference
 </li>
 <li>
 You take security and privacy seriously and have built systems where getting it wrong wasn't an option
 </li>
 <li>
 You want to own a hard, ambiguous problem end-to-end rather than wait for a PRD
 </li>
 <li>
 AI is deeply integrated into your workflow and life
 
 
 </li>
 </ul>
 
 This Role Might Not Be a Fit If
 
 
 
 <ul>
 <li>
 You want to work remote or hybrid &mdash; we're in-person 5 days/week in Dumbo
 </li>
 <li>
 You want to do novel ML research &mdash; this role is applied, not research
 </li>
 <li>
 You prefer long planning cycles or narrow ownership
 
 
 </li>
 </ul>
 
 Our Stack
 
 
 
 Python, Postgres, Redis, AWS. We pick tools based on the problem, not the other way around.
 
 
 
 Compensation &amp; Benefits
 
 
 
 <ul>
 <li>
 $180K&ndash;$280K base + meaningful equity
 </li>
 <li>
 100% covered medical, dental, and vision
 </li>
 <li>
 Unlimited PTO
 </li>
 <li>
 $500 in-office setup allowance
 
 
 </li>
 </ul>
 
 How We Hire
 
 
 
 <ul>
 <li>
 Intro Chat (20 min) &ndash; mutual fit and interests
 </li>
 <li>
 Technical Session (1hr) &ndash; collaborative problem-solving
 </li>
 <li>
 Onsite (2&ndash;3 hrs) &ndash; product deep dive, system design, meet the team
 </li>
 <li>
 Quick references &rarr; Offer
 
 
 </li>
 </ul>
 Compensation Range: $180K - $280K
 
 
</div>

Data Engineer

Adaptive Home Health

<div>
 
 About Us
 
 
 
 
 We are fixing US healthcare by building an AI-native physical care platform, starting with home health.
 
 
 
 Home health is a $140B industry with less than $10B in EBITDA &mdash; 40% of revenue is spent on pure administrative waste. We automate this work with AI, creating a fundamentally different cost structure compared to incumbents. This lets us rapidly take market share by serving the 30% of patients who go untreated today.
 
 
 
 By reshaping the cost structure of this industry, we unlock its growth.
 
 
 
 We&rsquo;ve built one of the best AI teams in the world (from Character AI, Scale, Palantir, Citadel, Jane Street) and paired them with a team of healthcare veterans and ex-MBB strategists to build a new type of healthcare company: one that delivers care at the speed of an AI company.
 
 
 Our physical care platform already operates with 30pp higher gross margins than traditional home health providers. With our AI advantage, we pay nurses more, remove their admin burden, and unlock the scale economics that have been missing from this fragmented industry. If we served this entire $140B market, instead of $10B in EBITDA, we&rsquo;d drive $60B.
 
 
 We're starting with home health, then expanding to all delivered care. Our mission is
 
 &ldquo;any care, any where&rdquo;
 
 .
 
 
 
 Fundamentally, our incentives are aligned with America. Every dollar in revenue we make is two dollars taken out of the healthcare system. If we succeed, so does US healthcare.
 
 
 
 
 About The Role
 
 
 
 We're hiring a
 
 Data Engineer
 
 to build the data infrastructure that powers business intelligence, operational analytics, and AI-driven decision-making across our platform. You'll design and implement data pipelines, integrate disparate healthcare data sources, and model complex domains like RCM, intake, and clinical operations to enable real-time insights and automation.
 
 
 A successful Data Engineer at Fira is
 
 analytical, detail-oriented, and comfortable working across the full data stack&mdash;from raw ingestion to analytics-ready models.
 
 You'll have significant ownership over our data architecture and the opportunity to define how we measure, monitor, and optimize every aspect of our operations.
 
 
 Over time, you'll take end-to-end ownership of our data platform, setting the technical vision for data infrastructure and enabling data-driven insights that shape product and business decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain robust data pipelines that integrate data from multiple sources including EMRs, EDI feeds, internal systems, and third-party APIs.
 </li>
 <li>
 Develop and manage data infrastructure using modern data stack technologies (Postgres, Databricks, Redshift, or similar warehouses).
 </li>
 <li>
 Model complex healthcare domains (RCM workflows, clinical operations, intake processes) into clean, queryable data schemas that support analytics and reporting.
 </li>
 <li>
 Build analytics, alerting, and dashboards to identify and prioritize opportunities for automation or process improvement across the business
 </li>
 <li>
 Contribute to the technical direction of our Business Intelligence platform, scaling data infrastructure to support growing operational needs.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Engineering Experience: 3+ years building and maintaining data pipelines, warehouses, and analytics infrastructure in a production environment.
 </li>
 <li>
 Technical Proficiency: Strong experience with SQL and at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and relational databases (Postgres, MySQL).
 </li>
 <li>
 Analytics &amp; Data Science: Comfortable with statistical analysis, exploratory data analysis, and applying analytical techniques to solve business problems. Familiarity with Python or R for data analysis.
 </li>
 <li>
 Pipeline Development: Experience building ETL/ELT pipelines using modern orchestration tools (Airflow, dbt, Dagster, or similar).
 </li>
 <li>
 Collaboration &amp; Communication: Ability to translate technical data concepts for non-technical stakeholders and partner effectively with Product and Engineering teams.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience in healthcare technology, especially with healthcare data standards (EDI, HL7, FHIR, claims data, clinical documentation).
 </li>
 <li>
 Experience with real-time or streaming data pipelines.
 </li>
 <li>
 Background in data science or machine learning, including feature engineering for AI/ML systems.
 </li>
 <li>
 Exposure to business intelligence tools (Hex, SigmaComputing, or similar).
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity for growth in a fast-growing company
 </li>
 <li>
 Collaborative team valuing innovation and problem-solving
 </li>
 <li>
 Competitive salary and equity compensation
 </li>
 <li>
 Flexible time off policy&mdash;we expect most employees to take at least 3 weeks of vacation per year
 </li>
 <li>
 In-office lunches, dinners, and snacks to fuel your focus and well-being
 </li>
 <li>
 401(k) retirement plan with employer contribution
 </li>
 <li>
 Comprehensive health insurance, dental, and commuter benefits
 
 
 </li>
 </ul>
 
 Location
 
 
 
 This role is in-person 3-5 days a week in our New York City office
 
 
</div>

Nscale

<div>
 
 About Nscale
 
 
 
 Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
 
 
 We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you&rsquo;ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you&rsquo;ll be contributing to building the technology that powers the future.
 
 
 
 About The Role (Job Purpose)
 
 
 
 We&rsquo;re looking for a
 
 Data Engineer
 
 to help design, build, and operate the data foundations that underpin Nscale&rsquo;s platform, internal operations, and customer-facing capabilities.
 
 
 This is a
 
 high-impact, early-stage role
 
 . You&rsquo;ll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals &mdash; from GPUs, clusters, customers, and internal systems &mdash; into reliable, scalable data products that ensure delivery at a previously unseen pace. You&rsquo;ll help define
 
 how data is collected, modelled, served, and trusted
 
 across the company, and have the opportunity to build on Palantir Foundry, as well as other products.
 
 
 This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.
 
 
 
 What You&rsquo;ll Be Doing (Responsibilities)
 
 
 
 
 Data Platform &amp; Architecture
 
 
 
 <ul>
 <li>
 Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.
 </li>
 <li>
 Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.
 </li>
 <li>
 Clean, transform and structure the data to create a digital twin of Nscale.
 </li>
 <li>
 Implement permissioning and manage access and security of the Foundry implementation.
 
 
 </li>
 </ul>
 
 Data Products &amp; Enablement
 
 
 
 <ul>
 <li>
 Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.
 </li>
 <li>
 Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.
 </li>
 <li>
 Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.
 </li>
 <li>
 Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions.
 
 
 </li>
 </ul>
 
 Reliability, Quality &amp; Governance
 
 
 
 <ul>
 <li>
 Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.
 </li>
 <li>
 Codify data lineage, freshness, and consistency across systems.
 </li>
 <li>
 Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company.
 </li>
 <li>
 Continuously improve system resilience and observability.
 
 
 </li>
 </ul>
 
 Early-Stage Ownership &amp; Growth
 
 
 
 <ul>
 <li>
 Take end-to-end ownership of projects, from design through to production and iteration.
 </li>
 <li>
 Help define standards, tooling, and ways of working for data at Nscale.
 </li>
 <li>
 Contribute to technical decision-making as the company scales its platform and customer base.
 </li>
 <li>
 Act as a thought partner to engineers and operators, not just a service function.
 
 
 </li>
 </ul>
 
 About You (Skills / Qualifications)
 
 
 
 <ul>
 <li>
 Deep, hands-on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large-scale data platform design.
 </li>
 <li>
 Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets.
 </li>
 <li>
 Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.
 </li>
 <li>
 Practical experience working in Git-based development workflows, including code reviews, version control, and CI/CD pipelines.
 </li>
 <li>
 Comfort working in ambiguous, early-stage environments where requirements evolve quickly.
 </li>
 <li>
 Strong communication skills &mdash; able to explain data concepts clearly to technical and non-technical stakeholders.
 </li>
 <li>
 A bias toward ownership, pragmatism, and shipping useful solutions.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.
 </li>
 <li>
 Familiarity with distributed systems, monitoring data, or usage-based billing data.
 </li>
 <li>
 Experience supporting customer-facing data products or platforms.
 
 
 </li>
 </ul>
 
 What We Can Offer You
 
 
 
 At Nscale, you'll find a
 
 collaborative, supportive, and innovative environment
 
 where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
 
 
 <ul>
 <li>
 Highly competitive package (base + equity) with reviews every 12 months. 🚀
 </li>
 <li>
 Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
 </li>
 <li>
 Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
 </li>
 <li>
 Human-First Flexibility: We treat you as humans first. 🫶🏽 Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
 </li>
 <li>
 Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Phone screen
 </li>
 <li>
 Coding interviews
 </li>
 <li>
 Hiring Manager interview
 
 
 </li>
 </ul>
 
 Equal Opportunities Statement
 
 
 
 We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
 
 
 If there&rsquo;s anything we can do to accommodate your specific situation, please let us know.
 
 
 The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
 
 
 
 For information on how Nscale handles candidate personal data, please see our Employee &amp; Candidate Privacy Notice: Here.
 
</div>

BlackRock

<div>
 
 About This Role
 
 
 
 <ul>
 <li>
 Improve BlackRock&rsquo;s ability to enhance our retail sales distribution capabilities and services suite by creating, expanding and optimizing our data and data pipeline architecture.
 </li>
 <li>
 You will create and operationalize data pipelines to enable squads to deliver high quality data-driven product.
 </li>
 <li>
 You will be accountable for managing high-quality datasets exposed for internal and external consumption by downstream users and applications.
 </li>
 <li>
 Top technical / programming skills &ndash; Python, Java and Scala with ability to work across big data frameworks such as Spark, Hadoop Suite, PySpark, Hive, Cloud Data Platforms Preferably Snowflake and SQL.  Experience working with flat files (e.g., csv, tsv, Excel), Database API sources is a must to both ingest and create transformations.
 </li>
 <li>
 Given the highly execution-focused nature of the work, the ideal candidate will roll up their sleeves to ensure that their projects meet deadlines and will always look for ways to optimize processes in future cycles.
 </li>
 <li>
 The successful candidate will be highly motivated to create, optimize, or redesign data pipelines to support our next generation of products and data initiatives.
 </li>
 <li>
 You will be a builder and an owner of your work product.
 
 
 </li>
 </ul>
 Responsibilities:
 
 
 <ul>
 <li>
 Lead in the creation and maintenance of optimized data pipeline architectures on large and complex data sets.
 </li>
 <li>
 Assemble large, complex data sets that meet business requirements.
 </li>
 <li>
 Act as lead to identify, design, and implement internal process improvements and relay to relevant technology organization.
 </li>
 <li>
 Work with stakeholders to assist in data-related technical issues and support their data infrastructure needs.
 </li>
 <li>
 Automate manual ingest processes and optimize data delivery subject to service level agreements; work with infrastructure on re-design for greater scalability.
 </li>
 <li>
 Keep data separated and segregated according to relevant data policies.
 </li>
 <li>
 Demonstrated ability to join a complex global team, collaborate crossfunctionally (data scientists, platform engineers, business stakeholders), and take ownership of major components of the data platform ecosystem and develop data ready tools to support their job.
 </li>
 <li>
 Be up-to-date with the latest tech trends in the big-data space and recommend them as needed.
 </li>
 <li>
 Identify, investigate, and resolve data discrepancies by finding the root cause of issues; work with partners across various cross-functional teams to prevent future occurrences.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Overall 4+ years of hands-on experience in computer/software engineering with majority in big data engineering.
 </li>
 <li>
 4+ years of strong Python or Scala programming skills (Core Python and PySpark) including hands-on experience creating and supporting UDFs and modules like pytest.
 </li>
 <li>
 4+ years of experience with building and optimizing &lsquo;big data&rsquo; pipelines, architectures, and data sets. Familiarity with data pipeline and workflow management tools (e.g., Airflow, DBT, Kafka).
 </li>
 <li>
 4+ years of hands-on experience on developing on Spark in a production environment. Expertise on parallel execution, deciding resources and different modes of executing jobs is required.
 </li>
 <li>
 4+ years of experience using Hive (on Spark), Yarn (logs, DAG flow diagrams), Sqoop. Proficiency bucketing, partitioning, tuning and handling different file formats (ORC, PARQUET &amp; AVRO).
 </li>
 <li>
 4+ years of experience using Transact SQL (e.g., MS SQ Server, MySQL), No-SQL and GraphQL.
 </li>
 <li>
 Strong experience implementing solutions on Snowflake
 </li>
 <li>
 Experience with data quality and validation frameworks, especially Great Expectations for automated testing.
 </li>
 <li>
 Strong understanding and use of Swagger/OpenAPI for designing, documenting, and testing RESTful APIs.
 </li>
 <li>
 Experience in deployment, maintenance, and administration tasks related to Cloud (AWS, Azure Preferred), OpenStack, Docker, Kafka and Kubernetes. Familiarity with CI/CD pipelines for data pipeline automation and deployment (Jenkins, GitLab CI, Azure DevOps)
 </li>
 <li>
 Experience with data governance, metadata management, and data lineage using tools like Axon and Unity Catalog. Expertise in managing business glossaries, data access control, auditing, and ensuring centralized governance across data assets in both cloud and hybrid environments.
 </li>
 <li>
 Hands-on experience with Databricks, including notebooks, workflows, and ML integrations.
 </li>
 <li>
 Experience with working with global teams across different time zones
 </li>
 <li>
 Plus - Experience with Machine Learning and Artificial Intelligence
 </li>
 <li>
 Plus - Experience with Generative Artificial Intelligence
 
 
 </li>
 </ul>
 For New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
 
 
 
 Our Benefits
 
 
 
 To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
 
 
 
 Our hybrid work model
 
 
 
 BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
 
 
 
 About BlackRock
 
 
 
 At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
 
 
 This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
 
 
 For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
 
 
 BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
 
 View the
 
 
 EEOC&rsquo;s Know Your Rights poster and its supplement
 
 
 and the
 
 
 pay transparency statement.
 
 
 
 BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our
 
 privacy policy
 
 .
 
 
 BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
</div>

Data Engineer, Associate

American Express

<div>Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
The Global Infrastructure Cost Transparency team, a part of Infrastructure Data &amp; Analytics (ID&amp;A), aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost transparency.
We are seeking a Data Engineer who knows that delivering on that promise takes foresight, planning and agility. Metric-driven cost optimization, workload-specific forecasting and robust cost modeling are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed. If you have proficiency and experience with designing and building these tools, join our team and build a career with us.</div>
 <div>Are you up for the challenge? Here&rsquo;s what you should have:
<ul><li>Hands-on experience with IBM&rsquo;s ApptioOne and TBM Studio
</li><li>Hands-on experience designing pipelines to orchestra data ingestion and integration from external systems of record (SORs) into IBM ApptioOne
</li><li>A deep understanding of ApptioOne modules, namely Cost Transparency, Total Cost of Ownership and Bill of IT
</li><li>Expert-level knowledge and experience in RDBMS (SQL Server or Oracle or PostGres), NOSQL, Json, Node Js, Python Programming, Astronomer Airflow, HTML and XML
</li><li>Acumen towards building reporting dashboards and collections for varying audience personas such as executives, finance managers, product leaders, portfolio managers and application owners/managers
</li><li>Keen ability and interest to build financial strategies, frameworks and tools from the ground up
</li><li>Ability to demonstrate increased self-reliance to achieve team goals
</li><li>Demonstrable software development experience in a professional environment and/or comparable experience such as:
</li><li>Familiarity with Agile or DevOps
</li><li>Experience with API design, either as a provider or consumer
</li><li>Experience with object-oriented design and coding with variety of languages
</li><li>Experience with Power BI or Tableau is a plus, but not required
</li><li>Hands-on expertise with distributed (multi-tiered) systems and relational database design, development, troubleshooting and automated testing
</li><li>Excellent communication skills
</li><li>Bachelor&rsquo;s Degree in Computer Science, Information Technology, Data Science or related experience is preferred
</li><li>Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.</li></ul></div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
<div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. 
</div><div></div> 
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. 
</div><div></div> 
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

Data Engineer III - Tech Business Enablement

Cape

<div>
 
 The Company
 
 
 
 Cape was founded in early 2022 by Palantir and Anduril alums with deep expertise in privacy and national security. While running Palantir&rsquo;s US national security business, our CEO became passionate about privacy and security on mobile devices. Our mission is to be a force for good in global wireless.
 
 
 At Cape, we are not just another cellular service provider; we are the architects of a privacy-centric movement that starts with the devices in your pocket. We are building a cellular network that helps citizens, including those responsible for our nation&rsquo;s security, regain control of their own data.
 
 
 We believe that where we are, where we go, and whom we are with are among our most personal information and should be kept private. Privacy is not something you achieve by limiting yourself or by doing less, it is a set of features to be built so you can do more. We have raised money from Andreessen Horowitz and other top-tier VCs, and are excited to grow the team.
 
 
 
 The Team
 
 
 
 We are relentless builders, constantly innovating and pushing the boundaries of what a telco can do. At Cape we trust our teammates to be great, and expect them to make profound impact. As a member of our team, you will collaborate with some of the smartest engineers, architects, and builders anywhere, working across organizational lines to deliver for our customers, every time.
 
 
 
 The Role
 
 
 
 We are looking to add our first data focused hire to build our data infrastructure from the ground up. You will be the trusted data partner across the company to (i) collaborate with engineering to capture our data needs while adhering to our privacy principles, (ii) build our data stack and implement high quality data pipelines, and (iii) create dashboards to track KPIs. The ideal candidate is a generalist who wants to split their time between building technical foundations and making sure teams can quickly run their most critical analyses. This role reports to our Head of Finance.
 
 
 
 Here are some ways you&rsquo;ll make an impact
 
 
 
 <ul>
 <li>
 Own data pipelines: Design, build, and maintain reliable ETL/ELT pipelines, ensuring timely and accurate delivery of high-quality data across the organization.
 </li>
 <li>
 Create dashboards: Design and implement dashboards, while automating regular reporting workflows to reduce manual effort and increase data consistency.
 </li>
 <li>
 Collaborate cross-functionally: Work closely with engineering and business teams to understand use cases and proactively develop data assets that support their goals effectively and scalably.
 </li>
 <li>
 Improve data quality, discoverability, and metric clarity: Design and implement robust systems for schema design, data validation, documentation, and governance, while defining and standardizing core business metrics and semantic definitions to ensure consistency across teams and tools.
 </li>
 <li>
 Support self-serve insights: Enable teams with intuitive, trustworthy data products and tooling that allow less-technical users to explore data and develop solutions independently.
 </li>
 <li>
 Priority projects:
 </li>
 <ul>
 <li>
 Implement foundational tooling for our data stack (data warehouse, orchestration and transformation tools, dashboards, etc)
 </li>
 <li>
 Operationalize schemas needed to run high quality analytics and prepare for usage based billing models
 </li>
 <li>
 Partner with leaders to define and monitor key metrics across the business
 
 </li>
 </ul>
 </ul>
 
 Are you the candidate we are looking for?
 
 (Requirements for the role) You have:
 
 
 <ul>
 <li>
 4+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence, with ownership of production analytics systems.
 </li>
 <li>
 2+ years of hands-on experience modeling analytics-ready data using dbt with SQL and/or Python.
 </li>
 <li>
 Expert-level SQL, including writing, optimizing, and debugging complex analytical queries.
 </li>
 <li>
 Proven ability to translate complex data into trusted models, metrics, and visualizations used by senior stakeholders.
 </li>
 <li>
 Deep experience with tools across the modern data stack
 </li>
 <ul>
 <li>
 Querying MPP analytical databases (Snowflake, Databricks, Redshift, BigQuery, etc)
 </li>
 <li>
 Building out BI (e.g., Omni, Tableau, Looker, Power BI, Sigma, Mode, Hex)
 </li>
 <li>
 Orchestrating data pipelines (e.g. Airflow, Dagster, Fivetran).
 </li>
 <li>
 Building transformations and semantic layers (e.g. dbt)
 </li>
 </ul>
 <li>
 Working proficiency in Python.
 </li>
 <li>
 Preferred
 </li>
 <ul>
 <li>
 Experience building and operating production data pipelines or data platforms, with strong software engineering practices (testing, CI/CD, code review).
 </li>
 <li>
 Experience with APIs and other integrations.
 </li>
 <li>
 Familiarity with AWS and self-hosted installs.
 </li>
 <li>
 Experience with analytics in privacy-preserving environments.
 
 </li>
 </ul>
 </ul>
 We offer competitive compensation that is
 
 geo-adjusted
 
 based on
 
 your location
 
 , along with meaningful equity so you share in the value you help create. Our benefits include:
 
 
 <ul>
 <li>
 401(k) match
 </li>
 <li>
 100% coverage of medical, dental, and vision premiums for you and your dependents
 </li>
 <li>
 12 weeks paid parental leave (for all parents, no waiting period)
 </li>
 <li>
 Stipends for
 </li>
 <ul>
 <li>
 Family-forming needs
 </li>
 <li>
 Gender-affirming care
 
 </li>
 </ul>
 </ul>
 
 Our Culture
 
 
 
 <ul>
 <li>
 We are builders, and we choose to spend our time building things that matter. Many of our people have backgrounds in Defense Tech as well as the defense and intelligence community. We build to win.
 </li>
 <li>
 We hire excellent people, give them outsized responsibility, and trust them to execute at a high level. Everyone here has a track record of solving hard problems throughout their careers.
 </li>
 <li>
 We believe that personal privacy and national security interests are not inherently at odds, and can be reconciled via strong technology.
 </li>
 <li>
 We believe that companies exist to build awesome things and take care of their people. Our benefits reflect that&ndash; top-tier health care, 401(k) matching, and a generous vacation policy (that we actually use).
 </li>
 <li>
 We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. Achieving diversity across these categories will serve to make our company stronger and our product better.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Click the link below to apply.
 
 
 We reserve the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.
 
 
</div>

Data Scientist

DS Technologies Inc

<div><div><div>About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.</div>
<div></div>
<div>DS Technologies Inc is looking for Engineer II &ndash; Big Data / ETL Engineer (Apptio) role for one of our premier clients. 
</div><div>Job Title: Engineer II &ndash; Big Data / ETL Engineer (Apptio) 
Location: New York, NY (NYC Metro Area only)(Hybrid) 
Position Type: Contract 
Only W2 
 
Job Summary: 
We are looking for a highly skilled Big Data / ETL Engineer who can work as a standalone developer and write production-ready code from scratch. The ideal candidate has strong expertise in Python, SQL, ETL development, and data warehousing, with hands-on experience building scalable data pipelines in enterprise environments. 
 
Key Responsibilities:
</div><ul><li>Design, develop, and maintain ETL pipelines using Python from scratch</li>
<li>Write efficient, reusable, and scalable code following OOP principles</li>
<li>Develop and optimize complex SQL queries, stored procedures, and database objects</li>
<li>Perform data modeling including schemas and entity relationships</li>
<li>Build and manage Airflow DAGs</li>
<li>Ingest, cleanse, govern, and report data from Big Data platforms</li>
<li>Work with multiple SQL dialects (SQL Server, Oracle, DB2, PostgreSQL)</li>
<li>Collaborate with stakeholders while operating independently</li>
</ul><div>Required Skills &amp; Qualifications:</div>
<ul><li>Strong Python (ETL pipeline development from scratch)</li>
<li>Expert SQL and RDBMS concepts</li>
<li>MS SQL Server (SSIS, SSRS)</li>
<li>Oracle PL/SQL</li>
<li>Solid understanding of OOP principles</li>
<li>Apptio experience</li>
<li>Airflow (DAG development)</li>
<li>Experience with Data Warehousing &amp; Big Data</li>
<li>Node.js, JSON, and NoSQL databases</li>
<li>Ability to work as an independent contributor</li>
<li>Must be local to NYC metro area</li>
</ul><div>Nice to Have:</div>
<ul><li>PySpark / Apache Spark</li>
<li>Databricks Delta Lakehouse or BigQuery</li>
<li>Exposure to cloud-based business tools and platforms</li>
</ul>
</div>Flexible work from home options available.</div>

Engineer II – Big Data / ETL Engineer (Apptio)

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Engineer II – Big Data / ETL Engineer (Apptio)