ETL Developer with Blockchain/AI/ML/IoT [Local candidate preferred]

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 highly skilled ETL Developer to design, develop, and maintain data pipelines and integrations utilizing the latest technologies. The ideal candidate will have hands-on experience in building scalable data workflows while working with advanced domains such as blockchain, Internet of Things (IoT), machine learning, and artificial intelligence (AI). This role offers an exciting opportunity to innovate at the intersection of data engineering and emerging tech trends.

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 Charlotte, NC is $100K-$110K/year & benefits (see below).

Responsibilities:

• Design, develop, and optimize ETL processes to extract, transform, and load data from diverse sources, including databases, APIs, IoT devices, and blockchain platforms.
• Collaborate with data scientists, data engineers, and business stakeholders to understand data requirements and ensure timely delivery.
• Integrate data related to blockchain transactions, IoT sensor feeds, and AI/ML models into scalable data pipelines.
• Leverage cloud services (AWS, Google Cloud Platform, Azure) and big data technologies to facilitate real-time and batch data processing.
• Develop and implement data validation, cleansing, and quality checks to ensure data integrity.
• Stay abreast of emerging technologies such as blockchain frameworks, IoT protocols, and AI/ML tools, incorporating relevant innovations into data workflows.
• Maintain documentation of data pipeline architecture, data lineage, and technical specifications.
• Troubleshoot and resolve data pipeline failures or performance bottlenecks.
• Assist in deploying and monitoring machine learning models and AI solutions within data pipelines.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 8+ years of proven experience as an ETL Developer or Data Engineer with 3+ years of hands-on development.
• Strong proficiency in ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica, SSIS) or custom scripting (Python, Spark, Scala).
• Experience working with blockchain data structures and APIs.
• Familiarity with IoT data formats, protocols (MQTT, CoAP), and processing platforms.
• Knowledge of machine learning and AI concepts, with experience integrating or deploying models into data workflows.
• Experience with cloud-based data services (AWS Glue, Google Dataflow, Azure Data Factory).
• Strong SQL and data modeling skills.
• Knowledge of big data technologies like Hadoop, Spark, Kafka.
• Excellent problem-solving and analytical skills, with attention to data quality.

Preferred, but not required:

• Certifications in cloud platforms or data engineering (e.g., AWS Certified Data Analytics, Microsoft DP-420).
• Experience with containerization (Docker, Kubernetes) for data pipeline deployment.
• Understanding of security, compliance, and data governance best practices in data handling.
• Exposure to AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.

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.

SYNECHRON 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.