• Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise. • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability. • Create, update, and optimize data connections, datasets, and transformations to align with business needs. • Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems. • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use. • Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications. • Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale. • Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.

Role Overview We are seeking a Data Engineer I to support the development and maintenance of our modern data platform. This is an entry-level role ideal for someone looking to grow their career in data engineering. You will work closely with senior data engineers, analytics teams, and business stakeholders to help deliver reliable and high-quality data. This role focuses on learning best practices in data engineering while contributing to building scalable data pipelines and supporting analytics use cases. What You’ll Do - Assist in building and maintaining batch data pipelines - Support data ingestion from internal and external sources - Write and optimize SQL queries for data transformation and validation - Help develop and maintain workflows using orchestration tools like Apache Airflow - Support data modeling and transformation efforts using DBT - Monitor data pipelines and assist in troubleshooting issues - Contribute to data quality checks and validation processes - Work with structured and semi-structured datasets - Collaborate with analytics and business teams to support reporting needs - Document data processes, pipelines, and best practices - Learn and apply modern data platform tools and technologies Required Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) - Basic knowledge of SQL and Python - Understanding of data structures and databases - Familiarity with ETL/ELT concepts and data pipelines - Strong problem-solving and analytical skills - Willingness to learn new tools and technologies - Good communication and collaboration skills Nice to Have - Exposure to tools like Apache Airflow, DBT, or Databricks - Basic understanding of cloud platforms (AWS preferred) - Familiarity with data warehousing or Lakehouse concepts - Internship or project experience in data engineering or analytics - Understanding of data quality and testing concepts Where This is a fully remote, US based position with minimal to no travel required. The EverCommerce team is distributed globally, with teams in the U.S., Canada, the U.K., Jordan, New Zealand, and Australia. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States or Canada – if you’re close to one of our offices, we can set you up in-office or you can work 100% remotely. Please note that you must be eligible to work without sponsorship to qualify for this position, and this role may require travel to our Corporate Headquarters in Denver, Colorado, or to other office locations around North America. Benefits & Perks - Flexibility to work where/how you want within your country of employment – in-office, remote, or hybrid - Continued investment in your professional development - Day 1 access to a robust health and wellness benefits package, including an annual wellness stipend. - 401k with up to a 4% match and immediate vesting - Flexible and generous (FTO) time-off - Employee Stock Purchase Program Compensation: The target base compensation for this position is $85,000 to $95,000 USD with an annual bonus plan in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above. EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!

Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you’ll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer’s environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ambiguous business problems into clear data and analytics use cases. · Storytelling & communication · Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Demo & POC excellence · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Competitive positioning · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Real-time or streaming analytics · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - 265,100 which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

It's more than a career, it's a calling. MO-REMOTE Worker Type: Regular Job Summary: Independently formulates and defines system scope based upon defined data functional requirements. Devises Extract Transform, Load (ETL) and Extract, Load, and Transform (ELT) components to solve complex problems. Works with peers to ensure highly robust and sustainable solutions are devised with low maintenance requirements. Populates technical specifications leveraging defined templates based upon business requirements. Participates in sprint activities through designing, coding, debugging, testing, and documenting ETL/ELT resources constructed. Independently creates extracts, imports, and APIs. May work with SQL Server Integration Services, Microsoft Data Factory, and interface engines. Establishes tables with indices with pre-calculated datasets to augment BI activities. Provides input on team strategy and vision. Supports and helps manage external resources, such as service providers and vendor support. Participates in strategic and tactical planning discussions. Job Responsibilities and Requirements: PRIMARY RESPONSIBILITIES - Works autonomously to define and create ETL/ELT (Extract, Transform, Load/Extract, Load, Transform) resources. - May work directly with subject matter experts to define or troubleshoot data migration issues. - Works with external partners to ensure the health of data extracts. - Possesses an understanding of PHI/PII (Protected Health Information/Personally Identifiable Information) principles and how they apply to data engineering. - Collaborates with peers, team and functional leaders to categorize and segregate data. Provides guidance and training to less experienced staff. - Develops templates and standards for ETL/ELT (Extract, Transform, Load/Extract, Load, Transform) development. - Possesses a strong understanding of existing ETL/ELT processes and can quickly troubleshoot and remediate issues. - Exhibits an understanding of health system data, principles, and coding standards (CPT, ICD, LOINC). - Reviews new technologies and makes recommendations for adoption to management. - Performs other duties as assigned. EDUCATION - Bachelor’s degree EXPERIENCE - Six years’ experience PHYSICAL REQUIREMENTS - Frequent lifting/carrying and pushing/pulling objects weighing 0-25 lbs. - Frequent sitting, standing, walking, reaching and repetitive foot/leg and hand/arm movements. - Frequent use of vision and depth perception for distances near (20 inches or less) and far (20 feet or more) and to identify and distinguish colors. - Frequent use of hearing and speech to share information through oral communication. Ability to hear alarms, malfunctioning machinery, etc. - Frequent keyboard use/data entry. - Occasional bending, stooping, kneeling, squatting, twisting and gripping. - Occasional lifting/carrying and pushing/pulling objects weighing 25-50 lbs. - Rare climbing. REQUIRED PROFESSIONAL LICENSE AND/OR CERTIFICATIONS - None Work Shift: Day Shift (United States of America) Job Type: Employee Department: 8746030033 Sys Utilization Management Scheduled Weekly Hours: 40 Benefits: SSM Health values our exceptional employees by offering a comprehensive benefits package to fit their needs. - Paid Parental Leave: we offer eligible team members one week of paid parental leave for newborns or newly adopted children (pro-rated based on FTE). - Flexible Payment Options: our voluntary benefit offered through DailyPay offers eligible hourly team members instant access to their earned, unpaid base pay (fees may apply) before payday. - Upfront Tuition Coverage: we provide upfront tuition coverage through FlexPath Funded for eligible team members. Explore All Benefits SSM Health is an equal opportunity employer. SSM Health does not discriminate on the basis of race, color, religion, national origin, age, disability, sex, sexual orientation, gender identity, pregnancy, veteran status, or any other characteristic protected by applicable law. Click here to learn more.