It's a new day with a new opportunity at 8am! About the role: 8am is looking for a Senior Data Engineer to help design and scale the data platform that power analytics, product insights, and machine learning across the company. In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights. You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems. About us: At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters. Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well! What you'll do: - Lead design discussions around data architecture, modeling strategy, and platform evolution - Identify opportunities to simplify and scale the data platform - Drive improvements to data reliability, observability, and data quality - Establish and promote best practices for data modeling, testing, and code review - Help the team prioritize work and balance speed with technical quality - Develop and optimize ETL processes - Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job - Mentor other data engineers - Challenge how business use cases fit together and fit into our product - Determine and proactively communicate future impacts of proposed or ongoing work - Help the team mitigate any issues that arise in their product and its ecosystem - Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting - Provide technical guidance to help Data Engineering evolve access to data platform - Work with engineering to integrate tracking of new functionality into the data ecosystem - Optimize the performance of business-critical queries - Explain why the projects their team is working on have been prioritized over other projects About you: - 7+ years of data engineering experience - Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.) - Strong experience designing and building data pipelines and data platforms - Cloud infrastructure experience (AWS preferred) - Experience building and maintaining relational as well as document, key-value, and other noSQL databases - Advanced Python & SQL skills - Experience working with third-party APIs for data integration - Experience with business process automation - Bachelor's degree or higher in a technical field (or similar combination of education and experience) - Spark and Redshift experience (PySpark preferred) - Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.) - Experience with Infrastructure as Code (Terraform / CloudFormation) - Experience with event or streaming systems (Kafka or similar) - CI/CD experience Additional Information The annual salary range for this position is $150,000 to $175,000. The salary range for performing this role outside of the US / Austin / California may differ. 8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education. Why 8am: At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day. Here’s how we support our 8Team: - Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees. - Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members. - Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents. - Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching. - Learning and Development: Continuous learning through 8am.edu, leadership programs, professional development funds, and individually focused talent development. - Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually). - Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform. At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day. Diversity, equity & inclusion at 8am: At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. Security advisory: Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology. As such, our Talent Acquisition Team only follows legitimate hiring practices. We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process. All interviews take place over phone call, Zoom/Google Meet or in person. All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up.

Role Description We are seeking a Microsoft 365 Records & Automation Engineer to support enterprise records management and automation initiatives within a federal environment. This role focuses on implementing Microsoft Purview Records Management capabilities, including trainable classifiers and automated classification strategies, while supporting SharePoint Online and Power Platform–based business solutions. The ideal candidate is a hands-on technologist with experience in Microsoft 365, automation scripting (Python and PowerShell), and workflow automation. This role will support records classification, data migration efforts, and automation of data analysis and transformation processes. The position requires strong collaboration with records managers, analysts, and engineers to modernize records governance and streamline operational processes. This is a mid-level technical role supporting enterprise Microsoft 365 modernization efforts. Responsibilities - Support implementation of Microsoft Purview Records Management policies, retention labels, and file plan configuration. - Assist in deployment and tuning of trainable classifiers and content classification models. - Analyze structured and unstructured data to support automated records classification. - Develop and maintain automation scripts using Python and PowerShell for: - Metadata extraction and transformation - Data normalization and validation - Reporting and audit preparation - Migration data preparation - Support automation initiatives using Microsoft Power Automate and Microsoft Forms. - Configure and manage SharePoint Online sites, libraries, and permissions to support compliant records storage. - Assist in content migration activities ensuring records compliance and metadata integrity. - Collaborate with records management stakeholders to translate governance requirements into technical configurations. - Troubleshoot Microsoft 365 records, classification, and automation workflows. - Document technical solutions, configurations, and automation processes. Qualifications - Bachelor’s degree in Computer Science, Information Technology, or equivalent experience. - 3–6 years of experience working with Microsoft 365 technologies. - Experience with Microsoft Purview compliance portal, including retention labels and records management. - Familiarity with machine learning–based classification concepts (e.g., trainable classifiers, content models, confidence scoring). - Strong scripting skills in: - Python (data manipulation, CSV/JSON handling, reporting automation) - PowerShell (Microsoft 365 administration and automation) - Experience with Microsoft Power Automate for workflow automation. - Experience configuring SharePoint Online (libraries, metadata, permissions, modern pages). - Understanding of data governance and records management principles. - Experience working with APIs, JSON, and data transformation. - Willingness to undergo Top-Secret Clearance investigation. Bonus Points If You Have - Experience implementing Microsoft Purview trainable classifiers. - Experience supporting federal records management initiatives. - Familiarity with ShareGate or similar migration tools. - Experience automating large-scale data analysis or migration preparation. - Microsoft certifications in Microsoft 365, Compliance, or Security. Eligibility Requirements - US – Citizen Compensation The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $70,500 — $136,700 USD. What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

• Design, build, and maintain Big Query DataMart's and analytical tables for BI reporting • Develop scalable data models (star schema, snowflake, or denormalized) optimized for analytics workloads • Build and maintain data pipelines for data ingestion, transformation, and loading into analytics environments • Implement governance practices, including schema management and version control

• Design, develop and maintain data solutions in an Azure environment; • Work with data modeling, Databricks, SAP Datasphere, Azure Data Factory, Azure Data Lake Storage (ADLS), Python and relational databases (SQL Server, Oracle, etc.); • Develop data ingestion, transformation and delivery pipelines (ETL/ELT); • Design and maintain Data Lakes and analytical tables for different business domains; • Ingest and process structured and unstructured data from files, systems and APIs; • Develop integrations with internal and external APIs for data consumption and exposure; • Support architects in requirements analysis and in defining technical details of data solutions.