Sr. Data Engineering Manager (Remote) at Jobgether

, Arizona, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Quality, Compliance, Snowflake, Databricks, SQL, Data Governance, API Data Integration, Communication, People Leadership, Data Documentation, Data Validation, Risk Escalation, Autonomy, Decision-Making

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will play a crucial part in supporting the Continuous Controls Monitoring (CCM) team through effective data management and quality oversight. Your expertise will ensure compliance-related data is accurate, secure, and aligned with internal policies. You will leverage enterprise big data platforms to enhance compliance reporting and audits. The opportunity to innovate and contribute to cutting-edge solutions is at the core of this role, allowing you to make a meaningful impact on data governance and compliance initiatives. \n Accountabilities Support management of compliance-related data assets, ensuring accuracy and consistency. Perform basic data access, validation, and analysis using Snowflake and Databricks. Assist in enforcing data governance and compliance-related policies. Conduct data validation and quality checks to identify compliance issues. Prepare data for compliance audits and internal assessments. Maintain comprehensive data documentation. Support ingestion and validation of data from various sources. Utilize SQL to query and validate compliance-related datasets. Collaborate with various teams to enhance compliance reporting. Escalate data quality or compliance risks and recommend actions. Keep updated on developments in data governance and compliance regulations. Requirements 3-5+ years of experience in cybersecurity and data management. Working knowledge of Data Governance and Compliance Support. Proficient in Snowflake, Databricks, SQL, and API Data Integration. Excellent communication skills for technical and non-technical stakeholders. Big 4 or audit background preferred. Executive-level presentation abilities. Experience leading global and distributed teams. Demonstrated people leadership experience. High level of autonomy with the ability to lead initiatives. Ability to perform under high-pressure environments. Strong attention to detail and decision-making skills. Benefits Opportunities for professional development and growth. Flexible remote work arrangements. Comprehensive health and wellness benefits. Collaborative and inclusive team culture. Access to modern data tools and platforms. Support for continued education and certifications. Competitive compensation package. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

This role supports the Continuous Controls Monitoring (CCM) team by managing compliance-related data assets, ensuring accuracy, security, and policy alignment. Responsibilities include performing data validation, quality checks, and preparing data for audits using tools like Snowflake and Databricks.