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Cresteo is on a mission to be the world leader in people-first and honest nearshore tech services. We prioritize a people-centered approach in an industry that often feels distant and impersonal. Our services are led by experienced, incredibly talented professionals who are changing the system from within - while collaborating with top global clients.
Our foundation is built on:
- Deep expertise
- Candid transparency
- Profit-sharing
- Fearless innovation
Our team stands out for their deep-rooted passion for corporate change, treating software development as a human sport and art form.
When it comes to recruitment, we won't box you into rigid questionnaires; we genuinely want to get to know you. Our interactions are not transactional but human-centered, seeking genuine understanding and connection.
You'll hear about our core values and experience them with us firsthand. They define our essence.
Join Cresteo and be part of the change we're championing!
As a Data Engineer at Techie Talent, you'll be more than just a developer; you will be part of transforming the tech industry through our honest, transparent, and people-centric approach.
Your role will be diverse and dynamic. You'll be instrumental in developing and maintaining our software solutions, working with a varied technology stack, and ensuring that our products are functional, efficient, reliable, and scalable.
By joining us, you're not just choosing a job; you're aligning with a vision that values the human side of tech, where your skills and passion are recognized, nurtured, and celebrated.
What We're Looking For- 5+ years of experience in Data Engineering, with proven delivery in enterprise-scale environments.
- Strong hands-on experience with Databricks, including the implementation of medallion architectures (Bronze, Silver, Gold).
- Deep knowledge of Python for data transformation and pipeline development.
- Advanced SQL skills for analytics, modeling, and performance optimization.
- Experience integrating data from diverse sources (e.g., APIs, relational/NoSQL databases, flat files, streaming).
- Solid understanding and usage of Delta Lake, MLflow, and Unity Catalog in production settings.
- Proficiency in Azure Data Services, such as Azure Data Lake Storage (ADLS Gen2), Azure Key Vault, and Azure Data Factory.
- Strong understanding of DevOps best practices applied to data workflows: version control (e.g., Git), CI/CD, automation and monitoring.
- Experience working with BI tools such as Power BI or Tableau, including preparing optimized data layers for dashboards and reports.
- Ability to design and document scalable data models tailored to business use cases.
- Commitment to data quality, with experience implementing automated testing for pipelines and datasets.
- Deep respect for data governance, privacy standards, and the secure handling of sensitive client data.
- Excellent communication skills to work with both technical and non-technical stakeholders in a consulting setting.
- Collaborative mindset and ability to thrive in cross-functional environments involving PMs, designers, and engineers.
- 100% Remote
- USD above-average salaries
- Profit Sharing Policy
- Unlimited PTOs after your first year (20 PTOs the first year)
- Equipment for your setup
- Great work/life balance
- Honest, simple, and transparent culture
- US-based clients and international teams
Everyone has a story. We're eager to hear yours and help you write the next chapter.
Are you ready for a change?
#Wearethechange!
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
