We are seeking an entry level Data Analyst with an undergraduate background in computational biology, bioinformatics, or a related quantitative discipline to join our computational biology and bioinformatics team.

Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.

Albireo Energy is looking to hire an entry level EPMS, BMS, controls or PLC engineer to join our team in the exciting, essential and expanding field of building and maintaining power monitoring systems for data centers and other critical power applications.

Entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.

May be asked to participate in non-design engineering activities such as construction inspection and materials testing, surveying, CADD production, and field data collection. This entry level position includes inspection of bridges and tunnels along with the preparation of load ratings, structural design, rehabilitation, construction documents, specifications, and estimates.

Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.

Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.

Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.

Systems Specialists participate in the installation, startup, and commissioning of building automation system equipment newly installed in large commercial buildings such as hospitals, universities, and data centers.

3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. Enable data discovery and curation for analytical purposes by collaborating with data scientists and providing data integration solutions.

Senior-level software engineer or data engineer with experience developing and deploying big data analytics applications using Databricks on the AZURE platform. Contribute to the design and optimization of a Data Analytics system using Databricks on the Azure Platform.

Project teams in our Energy & Industrial Group (EIG) support industry-leading projects in power generation, plant design, environmental compliance, mid/downstream oil & gas, and multi-disciplined industrial projects.

5+ years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or Bioinformatics. Perform statistical and subpopulation analysis on sensor and clinical data collected from clinical trials.

Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.

Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.