Logo for SynergisticIT

Data Engineer

Roles & Responsibilities

  • Experience with Python or Java, Spark, Airflow, and Databricks for building data pipelines
  • Strong understanding of ETL/ELT architectures and data integration
  • Hands-on experience with cloud data platforms and data warehouses (Snowflake, Redshift, BigQuery) and cloud storage (S3) on AWS/Azure
  • Familiarity with infrastructure-as-code and deploying data solutions in cloud environments

Requirements:

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Spark, Airflow, and Databricks
  • Develop and optimize data models and warehousing solutions on Snowflake, Redshift, or BigQuery; ensure data quality and governance
  • Collaborate with data science and analytics teams to translate requirements into data solutions and enable business impact
  • Support deployment and operations on AWS and Azure, applying infrastructure-as-code practices and ensuring deployment automation

Job description


Launch Your Data Career with Proof, Not Promisesβ€”At SynergisticIT
If you're serious about starting a high-impact, high-paying career in Data Science, Analytics, or Engineering, it's time to stop guessing and start choosing results. At SynergisticIT, we don't just offer trainingβ€”we offer outcomes.
Our candidates have landed jobs at top tech firms like Google, Apple, Client, Visa, PayPal, and countless startups and mid-sized tech teams. Whether you're transitioning from business, healthcare, teachingβ€”or you're a self-taught coder or bootcamp gradβ€”we help bridge that final gap between potential and placement.
πŸ“Œ See for yourself: Candidate Success Outcomes
πŸ“Š Specializations That Match Market Demand
πŸ”Ή Data Science Track:
  • Python, Pandas, NumPy, Scikit-Learn
  • Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP
  • Model deployment, A/B testing, business impact communication
πŸ”Ή Data Analytics Track:
  • SQL, Excel, Power BI, Tableau
  • Exploratory Data Analysis, visualization, statistical inference
  • Dashboard design, KPI reporting, automation
πŸ”Ή Data Engineering Track:
  • Python/Java, Spark, Airflow, Databricks
  • ETL architecture, Snowflake, S3, BigQuery, Redshift
  • Infrastructure-as-code and cloud data platforms (AWS, Azure)
πŸ’Ό Why Candidates Choose SynergisticIT (and Get Hired)
βœ… Career-First – Every tool, platform, and project is mapped to the current job market across fintech, healthtech, and SaaS companies.
βœ… Certification Support – Boost your rΓ©sumΓ© with IBM Data Science, AWS Data Analytics, Microsoft Power BI, and moreβ€”while building real-world, deployable projects that hiring managers love.
βœ… Mock Interviews + Mentorship – Work to refine your technical thinking, build interview confidence, and master both whiteboard and behavioral rounds.
βœ… Placement-Focused Guidance –We support you through applications, recruiter connections, tech screens, and salary negotiationsβ€”until you are hired
πŸ‘₯ Who We Help
  • New graduates unsure how to translate education into employment
  • Career switchers with analytical backgrounds ready to enter tech
  • Bootcamp and certificate holders seeking structure and hiring results
  • International candidates on OPT/STEM needing placement and visa security
  • Anyone tired of applying with no resultsβ€”and ready to change that
πŸ”‘ Data roles are explodingβ€”but only if you're ready to deliver real value.
Let us help you prove it.

Data Engineer Related jobs

Other jobs at SynergisticIT

We help you get seen. Not ignored.

We help you get seen faster β€” by the right people.

πŸš€

Auto-Apply

We apply for you β€” automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

✨

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.