Role: IT Data Engineer Position Type: Direct Hire, Full-Time Location: Wenatchee, WA- Hybrid- Must be local Annual Salary: $90-110k Must be Authorized to work in the US- No Sponsorship Can not work C2C or with 3rd party vendors- please do not contact our team on this matter. As an IT Data Engineer, you will lead the implementation of new technologies and methods, reporting directly to senior IT leadership. Your role involves developing and managing data pipelines, ensuring high performance, and supporting analytics across the organization. You will also maintain and optimize cloud-based reporting layers and work with various reporting platforms. Key Responsibilities: <ul> <li>Build and manage cloud-based data architecture. </li><li>Design and implement ETL/ELT solutions for data integration. </li><li>Maintain high-performance data pipelines and data stores. </li><li>Communicate technical details to stakeholders. </li><li>Address data-related technical issues and support infrastructure needs. </li></ul> What our client offers: <ul> <li>Comprehensive benefits package including medical, dental, vision, disability, and 401(k). </li><li>Opportunities for career growth and team leadership. </li></ul> Experience: <ul> <li>Experience working in a cloud environment (AWS, Azure, IBM Cloud) </li><li>Experience working with advanced database systems including warehouses, data marts, and models needed for business, financial and operational analysis </li><li>Cleansing, manipulating data sets, and anomaly detection </li><li>Experience building relational data models </li><li>Experience creating and managing ETL pipelines </li><li>Experience performing data analysis </li><li>Proficiency in connecting to data sources, modeling data, and creating visuals </li><li>Advanced knowledge of SQL, writing queries, and database design </li><li>Experience with multiple programming languages (e.g. Python, Java, C#) </li></ul> Not Required but a plus: <ul> <li>Experience with Analytics and Data Science tools, technologies, and techniques (R, Python, algorithms, Azure ML Studio/Services), custom visualizations in Microsoft Power BI using D3 and jQuery and Azure Infrastructure architecture and design. </li><li>Experience authoring reports using business intelligence tools (e.g. Power BI, Tableau, SAP Analytics Cloud, etc.) </li><li>Experience with automation tools (e.g. Power Automate) </li><li>Statistical and mathematical programming or ML tools used to train data (e.g. Stata, SAS, R, MATLAB, Pytorch, TensorFlow etc.) </li></ul> Qualifications: <ul> <li>Bachelor's degree and 2 or more years' experience in Computer Science, IT, Economics, Statistics, Engineering, Applied Mathematics, or related field, or an equivalent combination of experience, training, and education. </li> </ul>All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. To the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Role: IT Data Engineer Position Type: Direct Hire, Full-Time Location: Wenatchee, WA - hybrid Annual Salary: $90-110K As an IT Data Engineer, you will be instrumental in implementing innovative technologies and methods, driving change, and playing a key role within the IT Department. This cross-functional position reports directly to the Senior Director of IT and is a vital part of the client's business-driven Analytics Center of Excellence Our client is transforming data into valuable insights, and as an IT Data Engineer, you will lead the way in supporting business teams to become data storytellers and creators of actionable insights. You will be the innovator making this transformation possible! This role is crucial in delivering exceptional customer service across all levels and is responsible for designing, building, and implementing data pipelines that support analysts and enterprise-wide reporting. You will manage and maintain cloud-based analytic reporting layer while supporting data extracts and transformations, ensuring jobs run smoothly, staying organized, and prioritizing tasks effectively. Adaptability in a multi-project environment is essential. Additional Responsibilities: <ul> <li>Cloud Architecture: Build, maintain, and administer analytical cloud architecture. </li><li>Data Pipeline Performance: Ensure data pipelines and data stores are high-performing, efficient, organized, and reliable. </li><li>Data Platform Design: Design, implement, monitor, and optimize data platforms to meet organizational needs. </li><li>Technical Solutions: Assist in designing technical solutions for data gathering, landing, consumption, and analysis across our reporting architecture, including data lakes, Power BI, Synapse, and SAP Analytics Cloud. </li><li>Platform Data Analysis: Perform data analysis to support and enhance information management systems. </li><li>Technical Communication: Clearly communicate technical details to business and management personnel. </li><li>ETL/ELT Development: Support the development and execution of ETL/ELT strategies. </li><li>Project Participation: Engage in the ACoE's project planning process. </li><li>Data Management: Assemble large, complex data sets that meet business requirements. </li><li>Technical Support: Address data-related technical issues and assist with infrastructure needs. </li><li>System Enhancement: Work with the ACoE to enhance the functionality of data systems. </li><li>Reporting Standards: Support the development of reporting standards. </li><li>Data Governance: Execute data governance strategies. </li><li>Collaboration: Partner with technical and non-technical colleagues to understand data and reporting requirements. </li><li>Continuous Improvement: Identify areas for improvement and suggest solutions. </li><li>Team Contribution: Contribute to the team and organization as needed. </li></ul> What Our Client Offers: <ul> <li>A comprehensive benefits package including medical, dental, vision insurance, short- and long-term disability insurance, FSA, life insurance, matched 401(k), paid holidays, paid time off, and a performance incentive plan. </li><li>An opportunity to set new performance standards, lead a new team, and explore new career growth paths. </li></ul> Experience: <ul> <li>Experience with cloud environments (AWS, Azure, IBM Cloud). </li><li>Experience with advanced database systems, including warehouses, data marts, and models for business, financial, and operational analysis. </li><li>Proficiency in data cleansing, manipulation, and anomaly detection. </li><li>Experience building relational data models. </li><li>Experience creating and managing ETL pipelines. </li><li>Proficiency in data analysis. </li><li>Strong skills in connecting to data sources, data modeling, and creating visuals. </li><li>Advanced knowledge of SQL, including writing queries and database design. </li><li>Experience with multiple programming languages (e.g., Python, Java, C#). </li></ul> Not Required but a Plus: <ul> <li>Experience with analytics and data science tools, technologies, and techniques (R, Python, algorithms, Azure ML Studio/Services), custom visualizations in Microsoft Power BI using D3 and jQuery, and Azure infrastructure architecture and design. </li><li>Experience authoring reports using business intelligence tools (e.g., Power BI, Tableau, SAP Analytics Cloud, etc.). </li><li>Experience with automation tools (e.g., Power Automate). </li><li>Familiarity with statistical and mathematical programming or machine learning tools (e.g., Stata, SAS, R, MATLAB, PyTorch, TensorFlow, etc.). </li><li>Experience in the tree fruit or agricultural industry. </li></ul> Qualifications: <ul> <li>Bachelor's degree and 2+ years' experience in Computer Science, IT, Economics, Statistics, Engineering, Applied Mathematics, or related field, or an equivalent combination of experience, training, and education. </li><li>Analytical skills for handling data effectively, efficiently, and with confidentiality. </li><li>Ability to work collaboratively across different business functions and influence senior leaders. </li><li>Intellectual curiosity and a drive for continuous improvement through process enhancement and change. </li><li>Strong teamwork skills with the ability to collaborate with other technical professionals. </li><li>Ability to read, understand, compose, and collaborate on software requirements and training documents. </li><li>Eagerness to learn and transfer knowledge. </li><li>Commitment to delivering high-quality results with transparency, consultative, and collaborative attitude. </li><li>Flexibility and adaptability in the face of change. </li><li>Ability to interact and connect with all levels of the organization. </li><li>Desire to contribute to strategy and design for creating an exceptional employee experience. </li></ul> Success Defined: <ul> <li>Enhanced data systems and actionable insights for the organization! </li></ul> All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. To the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Role: IT Data EngineerPosition Type: Direct Hire, Full-TimeLocation: Wenatchee, WA - hybridAnnual Salary: $90-110K As an IT Data Engineer, you will be instrumental in implementing innovative technologies and methods, driving change, and playing a key role within the IT Department. This cross-functional position reports directly to the Senior Director of IT and is a vital part of the client's business-driven Analytics Center of Excellence Our client is transforming data into valuable insights, and as an IT Data Engineer, you will lead the way in supporting business teams to become data storytellers and creators of actionable insights. You will be the innovator making this transformation possible! This role is crucial in delivering exceptional customer service across all levels and is responsible for designing, building, and implementing data pipelines that support analysts and enterprise-wide reporting. You will manage and maintain cloud-based analytic reporting layer while supporting data extracts and transformations, ensuring jobs run smoothly, staying organized, and prioritizing tasks effectively. Adaptability in a multi-project environment is essential. Additional Responsibilities:<ul><li>Cloud Architecture: Build, maintain, and administer analytical cloud architecture.</li><li>Data Pipeline Performance: Ensure data pipelines and data stores are high-performing, efficient, organized, and reliable.</li><li>Data Platform Design: Design, implement, monitor, and optimize data platforms to meet organizational needs.</li><li>Technical Solutions: Assist in designing technical solutions for data gathering, landing, consumption, and analysis across our reporting architecture, including data lakes, Power BI, Synapse, and SAP Analytics Cloud.</li><li>Platform Data Analysis: Perform data analysis to support and enhance information management systems.</li><li>Technical Communication: Clearly communicate technical details to business and management personnel.</li><li>ETL/ELT Development: Support the development and execution of ETL/ELT strategies.</li><li>Project Participation: Engage in the ACoE's project planning process.</li><li>Data Management: Assemble large, complex data sets that meet business requirements.</li><li>Technical Support: Address data-related technical issues and assist with infrastructure needs.</li><li>System Enhancement: Work with the ACoE to enhance the functionality of data systems.</li><li>Reporting Standards: Support the development of reporting standards.</li><li>Data Governance: Execute data governance strategies.</li><li>Collaboration: Partner with technical and non-technical colleagues to understand data and reporting requirements.</li><li>Continuous Improvement: Identify areas for improvement and suggest solutions.</li><li>Team Contribution: Contribute to the team and organization as needed.</li></ul> What Our Client Offers:<ul><li>A comprehensive benefits package including medical, dental, vision insurance, short- and long-term disability insurance, FSA, life insurance, matched 401(k), paid holidays, paid time off, and a performance incentive plan.</li><li>An opportunity to set new performance standards, lead a new team, and explore new career growth paths.</li></ul> Experience:<ul><li>Experience with cloud environments (AWS, Azure, IBM Cloud).</li><li>Experience with advanced database systems, including warehouses, data marts, and models for business, financial, and operational analysis.</li><li>Proficiency in data cleansing, manipulation, and anomaly detection.</li><li>Experience building relational data models.</li><li>Experience creating and managing ETL pipelines.</li><li>Proficiency in data analysis.</li><li>Strong skills in connecting to data sources, data modeling, and creating visuals.</li><li>Advanced knowledge of SQL, including writing queries and database design.</li><li>Experience with multiple programming languages (e.g., Python, Java, C#).</li></ul> Not Required but a Plus:<ul><li>Experience with analytics and data science tools, technologies, and techniques (R, Python, algorithms, Azure ML Studio/Services), custom visualizations in Microsoft Power BI using D3 and jQuery, and Azure infrastructure architecture and design.</li><li>Experience authoring reports using business intelligence tools (e.g., Power BI, Tableau, SAP Analytics Cloud, etc.).</li><li>Experience with automation tools (e.g., Power Automate).</li><li>Familiarity with statistical and mathematical programming or machine learning tools (e.g., Stata, SAS, R, MATLAB, PyTorch, TensorFlow, etc.).</li><li>Experience in the tree fruit or agricultural industry.</li></ul> Qualifications:<ul><li>Bachelor's degree and 2+ years' experience in Computer Science, IT, Economics, Statistics, Engineering, Applied Mathematics, or related field, or an equivalent combination of experience, training, and education.</li><li>Analytical skills for handling data effectively, efficiently, and with confidentiality.</li><li>Ability to work collaboratively across different business functions and influence senior leaders.</li><li>Intellectual curiosity and a drive for continuous improvement through process enhancement and change.</li><li>Strong teamwork skills with the ability to collaborate with other technical professionals.</li><li>Ability to read, understand, compose, and collaborate on software requirements and training documents.</li><li>Eagerness to learn and transfer knowledge.</li><li>Commitment to delivering high-quality results with transparency, consultative, and collaborative attitude.</li><li>Flexibility and adaptability in the face of change.</li><li>Ability to interact and connect with all levels of the organization.</li><li>Desire to contribute to strategy and design for creating an exceptional employee experience.</li></ul> Success Defined:<ul><li>Enhanced data systems and actionable insights for the organization!</li></ul> All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. To the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Role: IT Data EngineerPosition Type: Direct Hire, Full-TimeLocation: Wenatchee, WA- Hybrid- Must be localAnnual Salary: $90-110kMust be Authorized to work in the US- No SponsorshipCan not work C2C or with 3rd party vendors- please do not contact our team on this matter. As an IT Data Engineer, you will lead the implementation of new technologies and methods, reporting directly to senior IT leadership. Your role involves developing and managing data pipelines, ensuring high performance, and supporting analytics across the organization. You will also maintain and optimize cloud-based reporting layers and work with various reporting platforms. Key Responsibilities:<ul><li>Build and manage cloud-based data architecture.</li><li>Design and implement ETL/ELT solutions for data integration.</li><li>Maintain high-performance data pipelines and data stores.</li><li>Communicate technical details to stakeholders.</li><li>Address data-related technical issues and support infrastructure needs.</li></ul>What our client offers:<ul><li>Comprehensive benefits package including medical, dental, vision, disability, and 401(k).</li><li>Opportunities for career growth and team leadership.</li></ul>Experience:<ul><li>Experience working in a cloud environment (AWS, Azure, IBM Cloud)</li><li>Experience working with advanced database systems including warehouses, data marts, and models needed for business, financial and operational analysis</li><li>Cleansing, manipulating data sets, and anomaly detection</li><li>Experience building relational data models</li><li>Experience creating and managing ETL pipelines</li><li>Experience performing data analysis</li><li>Proficiency in connecting to data sources, modeling data, and creating visuals</li><li>Advanced knowledge of SQL, writing queries, and database design</li><li>Experience with multiple programming languages (e.g. Python, Java, C#)</li></ul>Not Required but a plus:<ul><li>Experience with Analytics and Data Science tools, technologies, and techniques (R, Python, algorithms, Azure ML Studio/Services), custom visualizations in Microsoft Power BI using D3 and jQuery and Azure Infrastructure architecture and design.</li><li>Experience authoring reports using business intelligence tools (e.g. Power BI, Tableau, SAP Analytics Cloud, etc.)</li><li>Experience with automation tools (e.g. Power Automate)</li><li>Statistical and mathematical programming or ML tools used to train data (e.g. Stata, SAS, R, MATLAB, Pytorch, TensorFlow etc.)</li></ul>Qualifications:<ul><li>Bachelor's degree and 2 or more years' experience in Computer Science, IT, Economics, Statistics, Engineering, Applied Mathematics, or related field, or an equivalent combination of experience, training, and education. </li></ul>All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. To the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Role: Business Data EngineerPosition Type: Direct Hire, Full-TimeLocation: Wenatchee, WA- Would love someone local but open to a candidate 100% Remote. They will pay for travel to be onsite a few times a year.Annual Salary: $90K-$110KMust be Authorized to work in the US- No Sponsorship. Can not work C2C or with 3rd party vendors. .Ledgent Technology has once again partnered with a key employer in the Central Washington market!.Are you driven by change and innovation? We're seeking a skilled Business Data Engineer to join our team and make an impact.Were seeking a candidate with 2+ years of experience of Data Engineering!.Responsibilities:Cloud Architecture: Design and manage analytical cloud systems using Azure Synapse and Apache Spark (PySpark).Data Integration: Connect and integrate data sources for seamless flow and accessibility.Data Processing: Optimize and develop scalable data pipelines.Environment Management: Handle test and production environments with best practices.Operational Excellence: Monitor and prioritize data tasks for efficiency.Collaboration: Support analytics teams and address stakeholder data needs..Experience Required:· Educational Background: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred.· Technical Skills: Proven experience with Azure Synapse Analytics and Apache Spark (PySpark). Strong proficiency in SQL and data pipeline development.· Data Integration: Experience connecting to and integrating diverse data sources, including relational databases, APIs, and cloud-based data systems.· ETL Processes: Demonstrated expertise in designing and implementing ETL processes and managing data transformation workflows.· Environment Management: Familiarity with best practices in managing test and production environments and implementing environment segregation strategies.· Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues and optimize data pipelines.· Collaboration: Experience working in cross-functional teams and effectively communicating with both technical and non-technical stakeholders.· Project Management: Ability to manage multiple projects simultaneously, prioritize tasks, and adapt to changing requirements in a fast-paced environment.· Industry Experience: Preference for experience working in the tree fruit or agricultural industry and/or the manufacturing industry..All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. To the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

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Data Engineer Ledgent Technology Jobs

It Data EngineerSeptember 3, 2024

It Data EngineerSeptember 2, 2024

It Data EngineerAugust 24, 2024

It Data EngineerAugust 23, 2024

Business Data EngineerAugust 23, 2024