Job description

Our Essence: Techie Talent 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 Techies stand 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 Techie Talent and be part of the change we're championing!  Why You Belong Here 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   Solid experience in data engineering, with a proven track record of designing and deploying large-scale data solutions. Deep expertise in building and maintaining robust ETL pipelines, covering both batch processing and real-time streaming. Strong hands-on experience with real-time data streaming technologies (e.g., Apache Kafka, Spark Streaming, or equivalent). Advanced knowledge of data modeling, including dimensional modeling, normalization, and performance optimization. Proficiency in SQL for complex querying, optimization, and data validation across large-scale datasets. Experience using the R programming language for statistical data processing, modeling, or integration within data workflows. Solid understanding of Microsoft Fabric or equivalent modern data platforms (e.g., Azure Synapse, Databricks, Snowflake). Strong understanding of data governance, quality controls, and security practices within enterprise data ecosystems. Familiarity with cloud environments (preferably Azure) and orchestration tools (e.g., Data Factory, Airflow, or Prefect). Excellent communication skills, with the ability to work cross-functionally with analysts, engineers, product teams, and business stakeholders. Strategic thinking and autonomy to lead end-to-end data initiatives, from architecture design to implementation and optimization. Strong communication skills and the ability to collaborate with stakeholders Advanced level of English.    Our Commitment to You: 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   Every Techie has a story. We're eager to hear yours and help you write the next chapter.  Are you ready for a change?#Wearethechange! 

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