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
As a Senior Data Python Engineer, candidate will play a crucial role in designing, developing, and maintaining data pipelines and processing systems. Expertise in Python and Kafka will be essential for building scalable data solutions that support our analytics and business intelligence initiatives.
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 Minneapolis, MN is $100k - $105k/year & benefits (see below).
The Role
Responsibilities:
- Design, develop, and maintain robust data pipelines using Python to support data ingestion, transformation, and storage.
- Implement and manage streaming data applications using Kafka, ensuring high throughput and low latency.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
- Optimize data processing workflows for performance and scalability.
- Ensure data quality and integrity by implementing validation and monitoring processes.
- Work with various data storage solutions (e.g., SQL and NoSQL databases) to ensure efficient data retrieval and analysis.
- Perform data modeling and design schemas that facilitate efficient storage and access patterns.
- Troubleshoot and debug data processing issues, providing timely resolutions to maintain system integrity.
- Stay up-to-date with emerging technologies and best practices in data engineering and contribute to continuous improvement initiatives.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- 8+ years of experience in data engineering or a related field, with a strong focus on Python.
- Proven experience with Apache Kafka and knowledge of event-driven architecture.
- Strong programming skills in Python, with experience in data processing libraries (e.g., Pandas, NumPy).
- Familiarity with data storage technologies (e.g., PostgreSQL, MongoDB, Hadoop).
- Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) is a plus.
- Knowledge of ETL processes and tools (e.g., Apache Airflow, Talend).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills and the ability to work collaboratively within a team.
Preferred, but not required:
- Experience with cloud platforms (AWS, Azure, or GCP) and relevant data services.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
- Understanding of machine learning concepts and frameworks is a plus.
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.