At Data Spot Consulting Group , we help Fortune 500s and high-growth companies turn raw data into real-world impact. If you’re a data engineer passionate about solving complex data challenges and building future-ready systems, we want to meet you. What You’ll Work On Designing and building scalable data pipelines and ETL workflows Working with structured and unstructured data to ensure clean, reliable data delivery Collaborating with data scientists, solution architects, and domain experts Supporting analytics, machine learning, and AI-driven insights Optimizing data systems for performance, cost-efficiency, and governance Languages : Python, SQL, PySpark Data Platforms : Snowflake, Databricks, BigQuery, Redshift Workflow & Orchestration : Apache Airflow, dbt DevOps : Git, CI/CD pipelines, Terraform (nice to have) Bonus : Experience with ML pipelines, LLM data architecture, or real-time streaming (Kafka, Spark Streaming) Strong foundation in data modeling, data warehousing, and ELT Hands-on experience with modern data tools and cloud-native platforms Ability to write clean, scalable, and well-documented code Comfort in a fast-paced consulting environment Curiosity, ownership, and a builder’s mindset Be part of a growing global data consulting group Work on high-impact projects in Healthcare, Fintech, and Sustainability Opportunity to innovate with applied AI and data governance frameworks Flat hierarchy, flexible hours, and entrepreneurial culture Access to our in-house research lab and IP incubation studio Full Name (required) Email (required) Phone Number (required) Select Job Position Location (optional) Upload Your Resume (PDF/DOCX) Cover Letter #J-18808-Ljbffr