Role Description Authority Partners is seeking an experienced Data Engineer to join our team. You will design, expand, and optimize data pipelines and architectures to support cross-functional teams. The ideal candidate is skilled in building and enhancing data systems, supporting developers, analysts, and scientists, and ensuring seamless data delivery across projects. Responsibilities: - Design, build, and maintain reliable and scalable data pipelines for ingesting, transforming, and delivering structured and unstructured data. - Implement batch and streaming data workflows that support real-time and analytical use cases. - Optimize data flows for performance, cost-efficiency, and maintainability. - Develop and maintain data models that support business intelligence, analytics, and operational needs. - Ensure effective partitioning, indexing, and data lifecycle management strategies. - Collaborate with analysts and business stakeholders to understand data requirements and deliver high-quality datasets and data products. - Implement data quality checks, monitoring, and validation processes to ensure data accuracy and integrity. - Ensure compliance with relevant data governance, security, and privacy standards. - Monitor and troubleshoot data pipelines and systems to ensure reliability and high availability. - Design and develop interactive dashboards and reports that provide actionable insights to stakeholders, ensuring data is presented in a clear, intuitive, and visually compelling manner. Qualifications - Strong experience with Databricks for building scalable data pipelines and transformation workflows. - Hands-on experience with PySpark for distributed data processing. - Strong proficiency in SparkSQL for data transformation and analysis. - Solid understanding of data pipelines and data modelling. Requirements - Experience working with Azure cloud services. - Working knowledge of Databricks Dashboards. - Exposure to data visualization tools (Power BI, Tableau, Looker). - Experience with CI/CD pipelines for data engineering workflows. - Working knowledge of Microsoft Fabric and Dynamics 365 Finance and Operations. Education - Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Company Description Authority Partners is a leading and global IT services company with over 25 years of experience, serving clients within the financial, healthcare, insurance, mortgage, and technology sectors among many others. We are committed to building relationships with IT professionals who possess integrity, dedication, teamwork, and the desire to learn and grow with us. We specialize in placement for long-term contracts and permanent opportunities and helping our consultants achieve their career success. Authority Partners is an equal opportunity employer and is committed to providing a workplace that is free from all types of discrimination, as well as from abusive or offensive behavior and harassment.

The Program for the Neurobiology of Stress Response and Suicide aims to explore the underlying mechanisms of stress-related disorders and suicidal behavior, fostering innovative approaches to prevention and treatment. We are seeking a motivated and detail-oriented Clinical Interviewer to support our ongoing studies. This role involves data collection of data from clinical interviews, facilitating communication among team members, conducting structured virtual interviews with participants, assessing and managing safety risks, and creating reports to summarize findings. This position is grant funded. Responsibilities: - Meet weekly with the Project Coordinator for supervision. - Assure completeness and accuracy of information obtained. - To explain the study to the participant and obtain written consent for participation. - To conduct structured interviews with participants, typically over Zoom. - Maintain compliance with ethical guidelines and institutional policies. - Prepare and maintain accurate documentation, including consent forms, interview summaries, and Redcap documentation. - High School Degree or Equivalent required. Master's degree preferred, ideally in Psychology, Neuroscience, Counseling, Sociology, or related research/social sciences field. - Previous interviewing experience preferred. - Knowledge of research study methods and procedures preferred. - Flexibility in work schedule required-Evening availability preferred. - Excellent interpersonal and communication skills required. - Excellent organizational skills required. - Suicide risk assessment/risk management experience preferred. - Experience working with people with diverse backgrounds, age ranges, and range of mental health problems. - Experience in obtaining informed consent in NIH funded studies preferred. Licensure, Certifications, and Clearances: - Act 31 Child Abuse Reporting with renewal - Act 33 with renewal - Act 34 - Act 73 FBI Clearance with renewal UPMC is an Equal Opportunity Employer/Disability/Veteran

• Develop and scale data ingestion pipelines, ensuring lineage and documentation for traceability; • Implement and maintain automated data tests (e.g., schema validation, business rules, consistency and completeness) throughout pipelines; • Optimize ETL processes with a focus on latency and cost efficiency; • Define and monitor data SLAs/SLOs, ensuring availability, freshness and reliability of information; • Implement data observability practices, including monitoring of volume, distribution, anomalies and pipeline failures; • Participate in data incident analysis, performing root cause identification and implementing preventive actions; • Contribute to data documentation, cataloging and lineage to facilitate traceability and trust in the data.

Job Title: Lead, Data Engineer Job Code: 35910 Job Location: Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days – totaling 80 hours worked – and have every other Friday off Job Description: L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company’s modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data. Essential Functions: - 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. Qualifications: - Bachelor’s Degree and minimum 9 years prior Palantir experience or Graduate Degree and a minimum of 7 years of prior Palantir experience In lieu of degree, minimum 13 years of prior Palantir experience. - Minimum of 4 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python. - Minimum of 4 years of experience in Data Integration. Preferred Additional Skills: - Experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build. - Experience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry. - Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies. - Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning. - Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation. - Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable. - Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more. - Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $125,000-$232,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $108,500-$201,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. #LI-Remote #LI-NR1