Role Description Owns the OBIWAN Oracle database and data-integration layer supporting timely and accurate FAA financial reporting. The position administers Oracle Database 19c and associated platforms, operates and enhances Oracle Data Integrator (ODI) workflows, maintains GoldenGate replication, executes daily DELPHI and PRISM data loads and reconciliation, performs backup and recovery, tunes performance, resolves failures, and preserves data integrity across development, test, staging, and production environments. The candidate must have the ability to operate effectively under pressure adhering to the ProSol Core Values of: - Agility: rapid adaptation to the changing requirements and environment of our clients; - Excellence: Service quality that exceeds the expectations of our clients; - Integrity: Accountability and honesty−always doing the right thing; - Long-Term Commitment: Unquestioned loyalty and dedication to our clients, partners and employees. Qualifications - Advanced Oracle Database administration and troubleshooting skills in high-availability production environments. - Strong Oracle Data Integrator experience, including complex load plans, scheduling, mappings, job dependencies, automation, restartability, exception handling, and performance optimization. - Hands-on experience with Oracle GoldenGate replication, RMAN backup/recovery, Oracle Enterprise Manager, AWR, SQL/PLSQL, and database performance tuning. - Ability to operate time-sensitive financial data pipelines, validate source-to-target completeness, reconcile balances and records, and resolve discrepancies under strict daily deadlines. - Experience with flat-file transfer, FTP/SFTP, secure shell tools, file parsing, job scheduling, logging, alerting, and automated controls. - Ability to diagnose failures spanning source systems, network transfer, ETL, databases, replication, reports, and downstream dependencies. - Strong documentation and communication skills, including clear incident status, root-cause analysis, recovery procedures, and technical recommendations. Requirements - Bachelor’s degree in computer science, information systems, data engineering, software engineering, or a related technical field; directly relevant experience may substitute for a portion of formal education. - At least seven years of experience supporting enterprise Oracle database, data warehouse, ETL, data-integration, or financial-reporting environments. - At least five years of hands-on experience with Oracle Database administration and/or Oracle Data Integrator in production operations. - Demonstrated experience with backup and recovery, performance tuning, patching, upgrades, replication, production batch operations, data validation, and root-cause analysis. - Demonstrated ability to support early-morning Eastern Time production deadlines and respond calmly to high-impact data or database incidents. Preferred Qualifications - Oracle Certified Professional (OCP), Oracle Database Administration, ODI, GoldenGate, Exadata, or comparable Oracle credentials. - Experience with FAA systems, OBIWAN, DELPHI / Oracle Federal Financials, PRISM, or other federal financial and procurement data sources. - Experience with Exadata X9, Oracle Enterprise Manager, VxRail, Red Hat Linux, and hybrid application/database operations. - Experience creating automated reconciliation controls, anomaly detection, dashboards, and preventive monitoring for daily data pipelines. - Experience supporting ATO sustainment, NIST controls, vulnerability remediation, security scans, and audit evidence in federal environments. Core Competencies - Oracle database administration - ODI and ETL operations - Daily data reconciliation - GoldenGate replication - Backup and recovery - Performance tuning and capacity - Root-cause analysis and automation - Time-critical production support Supervisory Responsibilities This position has no routine direct reports. The employee may lead database and integration work, coordinate incident response, conduct peer reviews, and provide technical direction to team members or vendor support personnel. Work Environment and Physical Requirements Work is primarily performed remotely or at a Contractor facility. The role requires sustained computer use, early-morning availability aligned to Eastern Time, careful review of logs and financial data, and occasional after-hours work during maintenance, releases, outages, or recovery events. The employee must be able to respond promptly through telephone, messaging, and virtual collaboration tools. Performance Expectations - Daily integrations and reconciliation complete within required contract timelines with accurate status and escalation when deadlines are at risk. - Database services, replication, backup, and recovery remain reliable, secure, performant, and fully documented. - Data discrepancies and integration failures are resolved quickly, with root cause and preventive controls documented. - Patches, upgrades, migrations, and configuration changes are tested, controlled, reversible, and supported by complete evidence. - Database and data-integration documentation remains current enough for backup personnel to execute routine operations and recovery. Position Description Disclaimer This description summarizes the position’s primary duties and may be revised for related business or contract needs. It does not create an employment contract. Reasonable accommodations may be provided in accordance with applicable law and company policy. Additional Information ProSol is an equal opportunity employer, all interested qualified applicants are encouraged to apply, EEO/D/M/V/F. ProSol welcomes and encourages diversity in the workforce. All your information will be kept confidential according to EEO guidelines.

Role Description We are looking for a Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, ecommerce, logistics, and marketing initiatives. This role will be responsible for developing robust data pipelines, improving the data infrastructure, and ensuring high-quality, reliable data solutions in an AWS environment. The ideal candidate has strong expertise in Python, SQL, Spark, Airflow, and cloud-based data architectures, along with excellent communication skills and a collaborative mindset. - Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing. - Improve and maintain the company's data infrastructure and tooling, including Redshift/Snowflake, Airflow, and Fivetran. - Architect data processing systems capable of handling complex data flows and large-scale datasets. - Develop reliable, efficient, and cost-effective data solutions in an AWS environment. - Ensure high standards of data quality through automation and best engineering practices. - Optimize platform performance, resiliency, scalability, and operational costs. - Collaborate closely with software engineers, analysts, and business stakeholders. - Mentor engineers and analysts on data engineering best practices. - Participate in architecture discussions and technical decision-making. Qualifications - 4+ years of experience as a Data Engineer working with modern data technologies. - Strong proficiency in Python and SQL. - Experience processing large-scale datasets. - Hands-on experience with Apache Spark and Apache Airflow. - Experience designing and architecting data processing systems in AWS. - Experience with Redshift and/or Snowflake. - Knowledge of Fivetran or similar data ingestion tools. - Strong understanding of data quality, automation, and data engineering best practices. - Excellent communication and interpersonal skills. Requirements - Experience with streaming technologies such as Kafka or AWS Kinesis Firehose. - Knowledge of Docker and/or Kubernetes. - Familiarity with Ruby or R. - Experience building or migrating a Data Warehouse. - Experience leading projects or mentoring technical teams. Benefits - A stable, long-term contract with opportunities for career growth. - Private health insurance. - A remote-friendly culture that promotes work-life balance. - Continuous training, mentorship, and learning programs to keep you at the forefront of the industry. - Free access to AI training resources and state-of-the-art AI tools to elevate your daily work. - A flexible Paid Time Off (PTO) policy as well as paid holiday days. - Challenging, world-class software projects for clients in the US and LatAm. - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies. As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards. You focus on building client relationships and developing a deeper understanding of the business context, navigating increasingly complex situations, and growing your personal brand and technical knowledge. Responsibilities - Designing and implementing thorough data architecture strategies - Analyzing complex issues to create innovative solutions - Mentoring and guiding junior team members - Upholding standards in project deliverables - Building and maintaining client relationships - Developing a thorough understanding of the business environment - Managing and navigating complex scenarios effectively - Enhancing personal brand and technical skills What You Must Have - Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture guidelines - Maintaining data architecture compliance with data governance and data security policies - Collaborating with business stakeholders to understand their data requirements - Building, maintaining, and enhancing ETL/ELT pipelines for data ingestion, processing, and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines #LI-Hybrid #BI-Hybrid

Role Description This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas. We are seeking an experienced Lead Data Engineer to join our Data Platform Engineering Organization and lead the design, development, and modernization of enterprise data platforms that power analytics, reporting, business intelligence, and operational decision-making across the organization. The ideal candidate is a hands-on data engineering leader with expertise in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will be responsible for delivering scalable data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies while mentoring team members and driving engineering excellence. As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with a talented team of engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions. This role offers the opportunity to mentor engineering talent, drive engineering best practices, and support the adoption of modern data engineering capabilities across the organization. Qualifications - Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines. - OR High School Diploma or GED and 10 years of experience in the same areas. - Advanced experience with cloud platforms such as AWS, Azure, or GCP. - Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms. - Advanced proficiency in Python and SQL. - Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies. - Advanced experience with data modeling, data warehousing, and data engineering best practices. - Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments. - Experience collaborating with business and technology stakeholders to deliver data-driven solutions. - Strong analytical, problem-solving, and communication skills. Requirements - Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies. - Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products. - Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms. - Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks. - Experience with Data Vault modeling and modern data warehousing methodologies. - Experience leading technical initiatives, mentoring team members, and promoting engineering best practices. - Experience within Financial Services, Banking, or other highly regulated industries. - Familiarity with Tableau, Power BI, or other analytics and visualization platforms. - Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes. - AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications. Benefits Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits .