Location: United States (remote) What is Verse? Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical. Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs. The Role You will be a member of the technical staff designing, building, and maintaining the next generation of data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across a diverse range of data at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations focused on data. As a technical leader with advanced data engineering expertise, teammates will look to you to vet proposals, solutions to internal and customer-facing problems, system designs, and drive the implementation of these solutions with highest standards of software-engineering best practices. You will be an integral part of scaling our data platform as the company grows. Key Responsibilities - Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle - Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate - Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks - Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows - Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates - Participate in code reviews, maintain technical documentation, and adhere to best software development practices What We're Looking For (Minimum Qualifications) - Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems - Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments - Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings - Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices - Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team - Discipline using generative AI tools in day-to-day work What Will Make You Standout (Preferred Qualifications) - Bachelor’s or master's degree in Computer Science, Data Science, or a related field - Senior level software development talent and up - Proven track record being a technical leader in high-performing data engineering teams - Intimate knowledge of scaling “big data” solutions in cloud-based environments - Hands on experience deploying and maintaining software such as Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Presto/Trino, Iceberg, AlloyDB, Postgres, HBase, BigQuery, BigTable, Fabric, Hive, RedShift, S3, GCS, etc. - Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam - Knowledge of managed or hosted data solutions such as Databricks, Snowflake, ClickHouse, Tinybird, etc - Practical knowledge working with data in formats like Parquet, Avro, Protobuf, time series, text, image, video - Working closely to support AI/ML-focused teams (knowledge of MLflow and Ray is a big a plus) - Comfort building internal dashboards and data-focused visualizations What Makes Verse a Great Place to Work? - Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first - Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders - Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection - Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations Base Pay Range $180,000 - $250,000+ This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. Benefits and Employee Perks - Competitive compensation and equity grant at a high-growth start up - Comprehensive benefits package including medical, dental and vision insurance, and 401k - Flexible hours and unlimited PTO - Diverse and inclusive working environment Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

ReWorks Solutions is seeking a meticulous Data Entry Specialist to join our dedicated team. This position is vital in ensuring the accurate and efficient management of data across our systems. The ideal candidate will possess a keen eye for detail and the ability to work independently, as well as part of a team, to maintain the integrity of our data. In this role, you will be responsible for inputting, updating, and managing data in a timely manner, contributing to the overall success and operational efficiency of the company. Responsibilities - Accurately enter and update data into our databases, ensuring high levels of precision and attention to detail. - Verify and validate information for accuracy and completeness. - Identify and correct discrepancies or errors in data records. - Assist in the development and implementation of data entry processes and procedures to enhance efficiency. - Maintain confidentiality and security of sensitive information while managing data. - Support team needs by generating reports and providing data analysis as required.

• Design, build, and maintain Databricks data pipelines (ETL/ELT) for ingestion, transformation, and orchestration using Spark/Delta Lake/Databricks Workflows. • Operationalize machine learning models by building inference pipelines that invoke models authored by data scientists (batch or real-time), ensuring consistency between training and inference environments. • Ensure data reliability, quality, and observability through robust validation, monitoring, alerting, and automated recovery mechanisms. • Collaborate closely with data scientists to productionize models, manage model deployment lifecycles, and optimize inference performance and cost. • Implement best-practice DevOps/MLOps processes such as CI/CD for pipelines, model versioning, environment promotion, and infrastructure-as-code. • Optimize performance and cost across compute clusters, jobs, and storage layers. • Implement and manage the enterprise data catalog, including schema design, table ownership, lineage, governance, and documentation using Unity Catalog. • Experience with some Databricks infrastructure. • Experience with building BI dashboards and visualization. • Experience with coding agents and best practices (spec-driven development, etc.)

Role Description The scope of the proposed services will include the following: - Design the vision and blueprint of an organization’s data framework. - Design and manage data systems, set policies for how data is stored and accessed. - Coordinate various data sources within an organization. - Integrate new data technologies into existing IT infrastructures. - Data modeling and design, including software development and database administration. Qualifications - Ten (10) plus years professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture. - Bachelor’s degree in computer science, Computer Engineering, Data Science, Management Information Systems, or Information Technology. Company Description Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as: - Healthcare IT - Human Services - Identity Credentialing - Cloud Computing - Big Data Analytics With clients in the US and abroad, we hold key contract vehicles including: - GSA IT Schedule 70 - NIH CIO-SP3 - GSA Alliant - DHS-Eagle II Join us in driving growth and seizing new business opportunities. Preferred Qualification - Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures.