Data Engineer - Synechron Inc.

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500 , and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a talented and detail-oriented Data Engineer to design, develop, and maintain scalable data pipelines and big data solutions. The ideal candidate will have strong expertise in Python, PySpark, Apache Spark, and Big Data technologies. Candidate will work closely with data scientists, analysts, and stakeholders to ensure data is collected, processed, and made available for analytics and decision-making.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburgh, PA is $105k - $115k/year & benefits (see below).

The Role

Responsibilities:

• Design, develop, and optimize large-scale data pipelines using Spark and Python (PySpark).
• Build and maintain scalable data architecture and infrastructure in big data environments.
• Collaborate with data scientists and analysts to understand data requirements and deliver reliable data solutions.
• Extract, transform, and load (ETL) data from various sources into data lakes or data warehouses.
• Implement data quality checks, validation, and monitoring processes to ensure data integrity.
• Optimize Spark jobs for performance and resource utilization.
• Automate data workflows and pipelines using scheduling tools like Apache Airflow, Luigi, or similar.
• Work with cloud-based big data services (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc) as applicable.
• Document data pipelines, architecture, and processes for future maintenance and compliance.
• Stay updated with emerging big data technologies and industry best practices.
  
  
  

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• Experience in data engineering, big data, or similar roles.
• Strong programming skills in Python, especially with PySpark.
• Hands-on experience with Apache Spark (preferably version 2.x or 3.x).
• Experience working with large-scale data processing frameworks and data lakes.
• Familiarity with SQL and NoSQL databases.
• Knowledge of distributed computing concepts and data storage solutions.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus.
• Knowledge of data modeling, data warehousing, and ETL best practices.
• Proficiency with data orchestration tools like Apache Airflow or Luigi.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
  
  
  

Preferred, but not required:

• Experience with Kafka, Hadoop, Hive, or other big data tools.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Understanding of data security, privacy, and compliance standards.
• Knowledge of streaming data processing and real-time analytics.
  
  
  

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.
  
  
  

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.