Big Data Engineer
Role details
Job location
Tech stack
Job description
We are looking for a skilled and motivated Big Data Engineer to join our team and help build scalable, high-performance data systems. In this role, you will design, develop, and maintain data pipelines, ensure efficient data processing, and optimize data storage solutions to support business intelligence and analytics needs. You will work closely with cross-functional teams to handle large-scale datasets, implement best practices in data architecture, and explore innovative technologies in the big data ecosystem. The ideal candidate has a deep understanding of distributed systems, data processing frameworks, and a passion for leveraging data to drive impactful insights. If you are eager to work in a fast-paced, data-driven environment, we want to hear from you. *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***, Data Engineer, Data Architect, Hadoop Developer, Spark Engineer, ETL Developer, Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer, Analytics Engineer, etc.
Requirements
Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied Physics, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES
- Experience with designing scalable data pipelines
- Proficiency in managing big data tools
- Strong understanding of distributed systems
- Expertise in data storage optimization
- Familiarity with data governance practices
- Ability to ensure data pipeline reliability, * Proficiency in programming (e.g., Java, Python)
- Expertise in data processing frameworks (e.g., Spark)
- Skill in working with data storage systems (e.g., HDFS)
- Familiarity with data query tools (e.g., SQL)
- Ability to handle structured and unstructured data
- Proficiency in data workflow orchestration tools
DESIRED SKILLS
- Knowledge of real-time data processing
- Experience with stream processing frameworks
- Familiarity with NoSQL databases
- Expertise in cloud-based big data solutions
- Understanding of data visualization techniques
- Knowledge of emerging big data technologies
PLUG IN to CYMERTEK - And design your future...
Benefits & conditions
- Excellent Salaries
- Flexible Work Schedule
- Cafeteria Style Benefits
- 10% - 401k Matching (Vested Immediately)
- Additional 401k Profit Sharing
- 30 days Paid Leave/Holiday (No Use or Lose!)
- The day off for your birthday
- Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
- HSA/FSA
- AFLAC
- Long Term/Short Term Disability - 100% employee coverage. No cost to you.
- Life Insurance - 100% employee coverage. No cost to you.
- Additional Discretionary Life Insurance
- Paid Training
- No long, wordy reviews with tons of paperwork!!!
- Referral bonus program with recurring annual payments