Senior Python Data Engineer at Synechron

We areAt 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. Synechrons 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 14500 and has 58 offices in 21 countries within key global markets.Our challengeWe are seeking a Senior Python Data Engineer with deep expertise in building scalable production-grade data pipelines and models particularly within the financial domain. The ideal candidate will have advanced proficiency in modern Python frameworks like Fast API and Pydantic strong data manipulation skills and extensive experience with relational and NoSQL databases. Knowledge of graph databases LLMs and MLOps practices is highly desirable. Join us to innovate at the intersection of data engineering AI and financial risk management delivering impactful high-performance solutions.Additional Information*The base salary for this position will vary based on geography and other accordance with law the base salary for this role if filled within Irving TX is$120k - $130k/year & benefits (see below).The RoleResponsibilities:Design develop and deploy robust scalable data pipelines to process large volumes of structured and unstructured financial data.Implement AI-driven solutions leveraging LLMs and Generative AI to enhance data quality enrichment and analysis.Engineer and productionize predictive and prescriptive models in collaboration with quantitative and business teams to deliver measurable value.Analyze complex financial datasets with a focus on credit risk to uncover patterns insights and innovative solutions.Serve as a technical partner to stakeholders translating business requirements into high-performance resilient data systems.Stay abreast of latest advancements in data engineering AI and ML to foster continuous innovation and improvement within the team.Requirements:Expert-Level Python:Deep hands-on proficiency with modern Python (3.11).Modern Frameworks:Proven experience building high-performance production-ready services and data models using the latest Python frameworks includingFastAPIandPydantic.Data Tooling:Strong command of core data manipulation and analysis libraries (e.g. Pandas NumPy Polars).Database Proficiency:Advanced SQL skills and extensive experience working with large-scale relational databases ( IQ PostgreSQL Oracle).Educational Foundation:Bachelors degree in computer science Engineering or a related quantitative field (or equivalent practical experience).Problem-Solving Mindset:A proven ability to dissect complex often ambiguous problems and engineer elegant effective solutions.Preferred but not required:Graph Technology:Practical experience with graph databases specificallyNeo4j Enterprise and graph data modeling concepts.Diverse Database Experience:Proficiency with various database systems including relational databases likePostgreSQLand NoSQL databases likeMongoDB.GenAI & LLM Experience:Hands-on experience with modern AI frameworks like Lang Chain Llama Index or Hugging Face Transformers.Big Data Expertise:Familiarity with distributed computing frameworks like Apache Spark (PySpark) or Dask.Financial Domain Knowledge:Prior experience in the financial services industry especially within risk management is a significant plus.MLOps:Understanding of MLOps principles and tools for model versioning deployment and monitoring (e.g. MLflow Kubeflow).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 worlds leading tier-one banks financial institutions and insurance firms.A flat and approachable organization.A truly diverse fun-loving and global work culture.SYNECHRONS DIVERSITY & INCLUSION STATEMENTDiversity & 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.Candidate Application NoticeRequired Experience:Senior IC Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 120 - 130