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Data Engineer (Client Search)

UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED

Remote:

Full Remote

Work from:

United States

Weibermacht Consulting & Staffing Firm Hrtech: Human Resources + Technology Small startup https://www.weibermachtconsulting.com

2 - 10 Employees

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Job description

Your missions

Summary:
Our client is dedicated to unleashing the full potential of data to drive innovation and impact in our industry. We are currently seeking a skilled Data Engineer to join our dynamic team and lead our data strategy to new heights. As a Data Engineer, you'll be at the forefront, demonstrating the ROI of our products to both existing and prospective customers. You'll spearhead initiatives related to analytics tooling, guide scoping conversations, and contribute significantly to data programming. Your role is pivotal in ensuring seamless data flow between diverse teams and tools while upholding regulatory and ethical compliance in our data practices.

Why We Need You:
Data is at the core of our business strategy, and we require a dedicated owner. If you resonate with any of the following profiles, we want to hear from you:
●      Experienced data engineer or analyst with programming skills.
●      A startup enthusiast or someone seeking a cross-functional and self-directed role.
●      Senior software or DevOps engineer with a passion for data engineering.
●      Advanced data analyst with a knack for programming.

Primary Responsibilities:
In this role, you will have a direct impact on our data-driven journey by:
●      Discussing business objectives with stakeholders.
●      Collaborating with product managers to collect and prioritize data collection needs.
●      Building data pipelines and an event-driven analytics model.
●      Creating data visualizations and dashboards.
●      Understanding and adhering to trust and safety constraints.
●      Owning and iterating on our data systems in collaboration with the engineering team.
●      Researching and evaluating potential vendors.
●      Validating project outcomes across teams.
●      Empowering teams across the organization to meet their data needs.
●      Managing and optimizing student product engagement data.
●      Developing a strategic data roadmap aligning long-term plans with day-to-day decisions.

Secondary Responsibilities:
●      Conducting code reviews for other engineers.
●      Researching tools, techniques, and regulatory issues.
●      Writing internal documentation about data availability, data modeling, and graph interpretation.
●      Consulting API documentation from vendors to evaluate data flow possibilities.
●      Testing new data workflows between first- and third-party tools and demonstrating proof-of-concept work.
●      Ensuring data security and compliance by enforcing access controls, encryption, monitoring, and regulatory adherence.

A Typical Day:
Your daily routine will be diverse and engaging, involving:
●      Active participation in daily engineering stand-up meetings.
●      Collaborative discussions with stakeholders and peers to prioritize data needs.
●      Hands-on programming for data pipelines and code reviews.
●      In-depth research on data tools, techniques, and regulatory requirements.
●      Documentation of critical insights on data availability, modeling, and visualization.
●      Consultation of API documentation to evaluate data flow possibilities.
●      Rigorous testing of new data workflows and showcasing proof-of-concept results.
●      Crafting compelling data visualizations within dashboards.

Requirements

Required Skills, Background & Experiences:
Required Skills:
●      Proven experience in data engineering, including data pipeline development, ETL processes, and data warehousing.
●      Strong self-management and team leadership abilities.
●      Proficiency in Python, Javascript, and/or PHP being ideal.
●      Mid-to-advanced level SQL skills in any flavor.
●      Sound statistical analysis skills for meaningful data interpretation.
●      A knack for creating precise data visualizations.
●      Strong communication skills
●      Working remotely with a cross-functional team and collaborating with other engineers.

Preferred Skills, Background & Experiences:
●      Familiarity with BigQuery or similar data tools.
●      Exposure to Google Analytics.
●      Strong aptitude for self-directed learning and growth.
●      Experience in auditing application-level security with product engineers.
●      Proficiency in code validation using test automation.
●      Hands-on experience in DevOps/CI pipeline management.
●      Familiarity with event-driven frameworks like WordPress.
●      Knowledge of data collection policies and regulatory constraints.

Why You Should Join Us:
You will have the opportunity to:
●      Contribute to our mission and make a meaningful impact.
●      Lead and own data systems from discussions to delivery.
●      Grow personally as an individual contributor.
●      Shape the future of data collection and utilization in our organization.

Benefits

The company offers a comprehensive benefits package.

How to Apply:
If you're ready to be part of a team that's transforming the way we use data and meet the requirements outlined above, we invite you to apply now. Help the team shape the future of data and achieve remarkable results!

Learn more at https://weibermachtconsulting.com
See more jobs at https://careers.weibermachtconsulting.com