Design, build, and operate scalable cloud-native data pipelines and infrastructure to support analytics and AI workloads. Develop dimensional and semantic data models and curated data products, optimize cloud data services, maintain versioned development workflows, and collaborate with AI, Analytics, and Product teams to deliver high-quality data for LLMs, agents, and RAG solutions.
RemoFirst empowers employers to be free from geographical boundaries when accessing talent, allowing employees to pursue opportunities wherever they may exist. We are on a mission to be the FIRST to revolutionise the industry and be a truly generational company.
Our platform offers a full range of people management tools, employee benefits like health insurance, and financial benefits, enabling clients to hire anyone from anywhere with one click. RemoFirst manages employees and contractors for Fortune 500 companies (e.g., Microsoft, Mastercard) and the best startups worldwide (e.g., TransferGo).
We are one of the fastest-growing private companies in the USA, recently at 85th position on the Inc. 5000 list of fastest-growing companies in 2025. Backed by $40+M in venture funding, we are scaling rapidly and investing heavily in AI-driven solutions to supercharge our operations.
We are looking for a Senior Data Engineer to design, build, and operate a scalable, cloud-native data platform that supports both analytics and AI-driven use cases. This role goes beyond traditional data warehousing .You will work closely with AI engineers to build the data foundation that powers LLM applications, agent-based systems and RAG solutions.
You will be responsible for building reliable data pipelines, developing curated data models and products, and ensuring high-quality, trusted data is readily available for analytics and AI workloads.
Responsibilities:
- Design, build and maintain scalable data pipelines using modern data engineering tools (e.g., dbt, Airflow, Prefect).
- Develop and maintain dimensional and semantic data models to support analytics and operational use cases.
- Build curated data products that support analytics and modern AI workloads.
- Design data schemas and storage strategies optimized for both analytical and AI workloads.
- Build and maintain version control workflows and isolated development/test environments.
- Manage and optimize cloud-based data infrastructure ensuring performance, scalability, reliability and cost efficiency.
- Contribute to the architecture and evolution of the organization's modern data platform.
- Collaborate closely with AI, Analytics, and Product teams to deliver scalable, high-quality data solutions.
What you’ll need:
- 5+ years of hands-on experience in Data Engineering with proven delivery in production environments.
- Strong expertise in building scalable data pipelines using Python and SQL.
- Hands-on experience with modern data engineering tools such as dbt, Airflow, Prefect, or similar.
- Strong experience with dimensional data modeling and semantic data models.
- Experience working with cloud platforms (AWS preferred), including services such as S3, Redshift, Athena, Glue, and Lambda.
- Hands-on experience designing, building and operating modern data infrastructure, including storage, compute, orchestration, and monitoring.
- Familiarity with modern AI architectures and the data requirements for LLMs, AI agents and RAG applications.
- Strong ownership mindset with the ability to thrive in a fast-paced startup environment.
- Ability to translate evolving business, analytics and AI requirements into scalable data solutions.
- Effective communicator who collaborates well across Data, AI, Product, and Engineering teams.
- A senior engineer who balances architectural thinking with hands-on execution.
What we are looking for
Why work at RemoFirst?
- Startup environment: RemoFirst is an early-stage start-up. You have a voice and can influence and grow rapidly.
- Growth opportunity: This is a chance to define how AI transforms a category-leading startup - and grow your career as we scale. As a part of our AI team you will be able to learn from other engineers and ongoing R&D projects.
- Direct impact: Your work will be at the center of how we grow revenue, support customers, and differentiate in the market.
- Work for a Market Leader: Scale a project that counts market-leading companies like Microsoft, Mastercard, and more as happy customers.
- Leadership visibility: Reporting into the Data Lead.
- Compensation and perks are great: Competitive compensation. 100% remote work. PTO regulated by local statutory.
- Culture: We lead with respect, kindness, and the right to fail. We value hard yet smart work. Diversity and inclusion are part of our DNA. As we grow and evolve, we welcome your input to help us define our culture further.
Similar Jobs
Information Technology
Design, build, and maintain scalable batch and near-real-time data pipelines and models. Ensure data quality, observability, security, and cost-efficient performance. Partner with cross-functional teams to enable analytics, support BI use cases, and mentor junior engineers while applying DevOps practices and incident management.
Top Skills:
AirflowAPIsAWSAzureBigQueryCdcCi/CdDagsterDatabricksDbtDelta LakeDockerFivetranFlinkGCPGitIcebergJavaKafkaKubernetesLookerMetabasePower BIPrefectPythonRedshiftScalaSnowflakeSparkSQLStitchSupersetTableauTerraformWebhooks
Information Technology • Machine Learning • Real Estate
Design, build, and maintain scalable data pipelines, data marts, and schemas; collaborate with data scientists and stakeholders; deploy and maintain data storage and cloud infrastructure; implement data validation and quality checks; optimize pipeline performance and evaluate new tools to improve data engineering capabilities.
Top Skills:
APIsAWSAzureData WarehousesDatabasesFlinkGoogle Cloud PlatformKafkaPythonSpark StreamingSQL
Software
Lead design, development, and maintenance of end-to-end analytical solutions on Microsoft on-premises and Azure cloud. Elicit requirements, mentor junior engineers, deliver analytical and real-time solutions (ETL, data lake/warehouse, governance), and transfer knowledge to clients.
Top Skills:
Active DirectoryAzure Data CatalogAzure Data FactoryAzure Data Lake AnalyticsAzure Data Lake Storage Gen2 (Adls Gen2)Azure DevopsAzure FunctionsAzure HdinsightAzure Key VaultAzure PurviewAzure SqlAzure Stream AnalyticsAzure Synapse AnalyticsAzure Synapse Analytics Dedicated PoolsCosmosdbDatabricksHiveKafkaMs Sql ServerPolybasePower BISnowflakeSparkSsasSsisSsrsU-Sql
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
