Data Analytics Engineer

About the role

Control Engineering relies on this role to automate regulatory and financial workflows. The Data Analytics Engineer processes data warehouse inputs to produce accurate reporting and reconciliations, ensuring stakeholders can meet critical obligations and that platform evolution is supported. This position transforms complex data into actionable insights that drive compliance and operational integrity. The hire owns the design and execution of data solutions that align with stringent regulatory requirements. Success in this role is measured by the reliability and clarity of the outputs delivered to key teams. The Data Analytics Engineer works at the intersection of data engineering and business logic to solve high-stakes problems. This role requires a deep understanding of data flows to ensure the integrity of financial and compliance reporting. The solutions built directly enable the Control Engineering team to operate efficiently and meet external mandates.

Key facts

Data flows from a data warehouse into clean, correct regulatory and financial reports, including reconciliations, enabling Compliance, Finance, and Treasury teams to satisfy obligations.

You will translate requirements from Compliance, Finance, and Treasury stakeholders into clean designs and scalable solutions that address business needs and regulatory obligations within the platform.

As the tech lead, you will provide technical guidance through work prioritization, hands-on design and development, code reviews, and the evolution of technical standards and best practices for the Control Engineering team.

You will bring at least five years of software design and development experience covering CI/CD, source code control, testing, and quality management to ensure reliable delivery of scalable solutions in production.

You will demonstrate high proficiency in Python and SQL, database design, and experience with data warehouses like Snowflake to build complex solutions at scale.

You will operate with self-starter behavior, a sense of urgency, and an eagerness to learn and explore new technologies to solve business problems as they arise.

You will practice clear and concise communication with non-technical business stakeholders, product managers, and engineers to align on requirements and solutions.

You will perform logical troubleshooting and problem assessment to determine effective solutions for operational and regulatory workflows.

You will leverage experience in post-trade automation design and architecture to deliver solutions to complex data problems.

You will gain experience generating complex financial industry regulatory reports such as EMIR, MFID, SFTR, CPR, K Factor, and similar reports.

You will utilize primary tools including Python, SQL, Snowflake, Retool, Docker, Kubernetes, Argo, and Metaplane to build and maintain data pipelines.

You will work within a DevOps-oriented culture that emphasizes CI/CD methodology to ensure efficient and reliable data operations.

You will perform work from New York, NY, under a hybrid schedule that requires in-office presence four days per week.

You will understand that the role requires a degree and may involve travel as part of the responsibilities.

Requirements

You must hold a bachelor's degree, which is required for this role and may involve travel; the exact field should be confirmed You must have at least five years of software design and development experience covering CI/CD, source code control, testing, and quality management to ensure reliable delivery of scalable solutions in production.

You must possess high proficiency in Python and SQL, database design, and experience with data warehouses like Snowflake to build complex solutions at scale.

You must demonstrate self-starter behavior with a sense of urgency and an eagerness to learn and explore new technologies to solve business problems as they arise.

You must practice clear and concise communication with non-technical business stakeholders, product managers, and engineers to align on requirements and solutions.

You must perform logical troubleshooting and problem assessment to determine effective solutions for operational and regulatory workflows.

You must have a degree to meet the eligibility requirements for this position, and this may involve travel.

You must be authorized to work under the #LI-Hybrid visa sponsorship terms as outlined in the job details.

Experience in post-trade automation design and architecture delivers solutions to complex data problems.

Experience generating complex financial industry regulatory reports like EMIR, MFID, SFTR, CPR, K Factor, and similar reports.

Work is performed from New York, NY, with a hybrid schedule requiring in-office presence four days per week.

The role requires a degree and may involve travel.

The role focuses on data analytics and engineering within capital markets infrastructure.

Primary tools include Python, SQL, Snowflake, Retool, Docker, Kubernetes, Argo, and Metaplane.

The team operates with a DevOps-oriented culture emphasizing CI/CD methodology.

Clear Street maintains an equal opportunity employment policy.