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The Leader in Cloud-Based Field Service and Fleet Management Solutions for Companies With a Mobile Workforce.
Senior Data Analytics Engineer
Location
United States
Posted
95 days ago
Salary
$130K - $175K / year
Seniority
Senior
Job Description
Senior Data Analytics Engineer
WorkWave
Role Description We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy. Beyond just managing tickets or building pipelines, you will take full ownership of the data ecosystem. You will play a pivotal role in supporting our AI/ML initiatives, managing the modern data stack while simultaneously answering critical business questions to ensure data accessibility, reliability, and scalability. WHAT YOU'LL DO: - Ecosystem Ownership & Strategy - Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack to prevent downtime before it impacts stakeholders. - Business-First Data Modeling: Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models that make self-service easy in platforms like PowerBI, Tableau, and Sigma. - Documentation & Governance: Maintain comprehensive documentation of all data engineering processes to enable stakeholder self-service, following the industry’s best practices. - Engineering & Execution - Infrastructure Development: Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows. - Performance Tuning: Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively, ensuring queries are efficient and scalable. - Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems. WHO YOU MIGHT BE: - The Product-Minded Engineer: You are a Senior Data Engineer who is tired of just "taking tickets." You want to understand the business strategy behind the data and take ownership of the full lifecycle. - The Analytics Architect: You have a background in BI or Analytics but have grown into a "Ninja-level" technical expert in SQL and Python. You build pipelines not just to move data, but to answer questions. - The Startup Builder: You have worked in small teams driving innovative solutions and are comfortable wearing multiple hats—from architecting infrastructure to troubleshooting a dashboard. Analytics Translation & Collaboration - Bridge the Gap: Collaborate with cross-functional product, engineering teams, and customers to translate vague business goals into precise technical requirements. - Support AI/ML: Create models that specifically enhance Analytics and AI/ML projects. Qualifications - 5+ years of experience in data engineering roles, including taking ownership of pipelines and optimizing infrastructure. - Technical "Ninja" Skills: Ninja-level proficiency in SQL (specifically CTE optimization) and Python (complex scripting and ML/AI). - Pipeline Architecture: Expertise in architecting data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT. - Business Intuition: Proven ability to apply business intuition, leveraging analytical skills to present complex data insights and actionable recommendations to technical and non-technical stakeholders. - Visualization Proficiency: Experience building visual data analytic business-driven solutions using tools like PowerBI, Sigma, or similar analytic tools. - Masters degree in engineering or analytics. Requirements - Cloud & Big Data: Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake. - Leadership: Proven experience in leading data engineering projects and integrating data from multiple sources. - Small Team Experience: You have worked in small teams driving innovative solutions and thrive in agile environments. Benefits - $130,000 - $175,000 a year. - Robust benefits package, including health and dental and 401k with company match. - Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays. - Up to 4 weeks paid bonding leave. - Tuition reimbursement. - Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more! - 24/7 access to virtual medical care with Teladoc. - Quarterly awards based on peer nominations. - Regional discounts and perks. - Opportunities to participate in charitable events and give back to the community.
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Senior Analytics Engineer, 12 Month Contract
Coconut SoftwareCoconut Software is on a mission to ensure an effortless process “for customers to connect with their financial institution.” As an employer, the company is
• Mentor and support data analysts, data engineers and developers, fostering a collaborative and psychologically safe environment. • Set high standards for technical excellence in SQL, dbt modeling, and LookML architecture. • Collaborate with other analytics engineers on the migration of legacy logic from Redshift/Postgres into performant Databricks silver and gold layers. • Independently implement complex data models in dbt, demonstrating expertise in modularity, testing, and performance optimization on Spark. • Own the LookML layer, ensuring our explores and dashboards are performant, intuitive, and accurate. • Act as a "Hybrid Analyst," comfortably balancing long-term engineering projects with ad-hoc requests to support the business. • Translate stakeholder questions into Looker-based reports and visualizations, ensuring the business has the right insights at the right time. • Lead technical data planning through discovery, design, and release, ensuring clear documentation for data catalogs and version tracking. • Identify opportunities for "data debt" reduction and architectural improvements in our Lakehouse and semantic layers. • Proactively address system characteristics like latency and throughput, ensuring our data pipelines are optimized for cost and speed. • Act as a subject matter expert in your data domain, contributing to business strategy to ensure we are measuring what matters. • Provide engineering perspectives on the product roadmap, clearly communicating data feasibility and reporting limitations.
• Report to the team lead and be a key contributor to our migration from a legacy SQL Server data stack to a modern cloud data stack consisting of Snowflake, dbt and Tableau • Design and build data pipelines using Snowpark and/or Snowpipe where native connectors do not exist for Snowflake for various data sources • Contribute to designing and building a new multi-dimensional data model in Snowflake • Work closely with our Business Intelligence Analytics team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work. We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change. At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally. We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust. • Performs more complex data management tasks, including the acquisition, processing, integration, and cleaning of large data sets from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility, focusing on multiple business units or areas • Develops and maintains the complex and detailed data dashboards and reports independently, utilizing a range of cutting-edge tools to automate data collection and generate sophisticated reports. Significantly advances the development and efficiency of analytical processes, ensuring that complex data insights are effectively presented across the organization • Performs complex data investigations and analysis, identifying trends and variances that support the organization’s strategic initiatives on a larger scale. Manages intricate data mining, validation, and reconciliation tasks to ensure accuracy and consistency in data reports, working with multiple business areas • Delivers complex business intelligence projects and change management initiatives, providing critical support within assigned areas to better align with organizational strategies. Leads the implementation of new analytics tools and techniques across diverse areas • Acts as data intelligence partner for business leaders. Utilizes specialist knowledge in data visualization to influence strategic decisions • Leads and continuously develops and shares specialist knowledge on emerging trends and changes in data analytics and business intelligence, actively participating in strategic, forward-looking projects across the organization. This includes creating more complex reporting solutions and improvement proposals that increase the quality and uniformity of reporting • Develops and implements the modernization and automation of departmental reporting capabilities, enhancing reporting quality and consistency on an advanced scale Grade Descriptor • Requires specialized conceptual and practical knowledge in own discipline or field and comprehensive understanding of related disciplines • Solves complex and diverse problems • Works independently, receives minimal guidance • Leads projects or project steps within a broader or cross-functional project or may have accountability for on-going activities or objectives • Contributes to process improvements • Acts as a resource for and supports the development of colleagues with less experience • Impacts the ongoing achievement of customer, operational, project/program or key business/organizational/service objectives and recommends improvements within area of responsibility • Explains difficult or sensitive information to facilitate productive discussion; works to build consensus Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you.




