Cymertek Corporation
Big Data Engineer
Cymertek Corporation, Reston, Virginia, United States, 22090
Big Data Engineer
KEY SUMMARY
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. LOCATION
Reston, VA 20190 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 REQUIRED SKILLS
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 BENEFITS
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 Referral bonus program with recurring annual payments HOW TO APPLY
Email us at
jobs@cymertek.com
or apply today:
www.cymertek.com EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.
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KEY SUMMARY
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. LOCATION
Reston, VA 20190 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 REQUIRED SKILLS
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 BENEFITS
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 Referral bonus program with recurring annual payments HOW TO APPLY
Email us at
jobs@cymertek.com
or apply today:
www.cymertek.com EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.
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