58 applicants

Company

Orrick, Herrington & Sutcliffe LLP · 9 hours ago

Data Solutions Engineer

United States

Full-time

Remote

Entry, Mid Level

$72K/yr - $93K/yr

2+ years exp

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Responsibilities

Design and develop data pipelines to gather, transform, and load data from various sources.

Integrate data from different sources to provide a unified view.

Ensure data quality, accuracy, and consistency.

Provide tools and infrastructure to support data analysts and scientists.

Troubleshoot and resolve data-related issues.

Collaborate with other teams to understand data requirements and deliver solutions.

Monitor and maintain data systems to ensure smooth operations.

Collaborate with business support teams on BAU management of data solutions

Work with other members of the data team to identify suitable platforms and technologies

Define best practice technical standards for data solution delivery

Keep abreast of the data technological landscape

Document data processes, systems, and workflows for future reference and training.

Work with the Data Architect to identify suitable platforms and technologies

Define best practice technical standards for data solution delivery

Keep abreast of the data technological landscape

Implement DevOps for data platform solutions

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data Solutions EngineerData infrastructureSystem architectureSecurity best practicesCloud platformsMicrosoft Data PlatformMicrosoft AzureMicrosoft Power PlatformSQL Server BI suiteMicrosoft FabricAzure DatabricksData FactoryAzure Data LakeAzure Synapse AnalyticsAzure Machine LearningAzure DevOpsMicrosoft 365 toolsMicrosoft Power AutomateMicrosoft Power AppsPower BIAzure Active DirectoryAzure Security CenterCI/CD pipelinesSharePointOneDriveLogicAppsAzure Key VaultData privacy regulationsFluent in EnglishChange management

Required

Bachelor's or master’s degree in Computer Science, Information Technology, Data Science, or a related field - or equivalent relevant industry experience

2+ years of proven experience as a Data Solutions Engineer or similar role, preferably in a technology-driven environment

In-depth knowledge of data infrastructure, system architecture, security best practices, and software development

Experience with multiple data storage, management, and integration technologies and platforms

Proficiency with cloud platforms, particularly Azure, and Microsoft Power Platform

Extensive experience with Microsoft Data Platform, including SQL Server BI suite, Microsoft Fabric, Azure Databricks, and/or Data Factory

Ability to work autonomously under pressure with minimal supervision or as part of a multidisciplinary team

Strong verbal and written communication skills, with the ability to influence and collaborate effectively across different teams and locations

Ability to build rapport and strong working relationships with stakeholders at all levels

Capability to work in a fast-paced environment and manage multiple projects concurrently

Fluent in English, both written and spoken

Proficiency in designing, deploying, and managing solutions on Microsoft Azure, including Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning

Experience with Azure DevOps for continuous integration and continuous deployment (CI/CD) pipelines

Skilled in utilizing Microsoft 365 tools for data collaboration and integration, such as SharePoint, Teams, and OneDrive

Expertise in developing and automating workflows using Microsoft Power Automate and LogicApps

Ability to create and manage custom applications and dashboards using Microsoft Power Apps and Power BI

Familiarity with Azure Active Directory for identity and access management

Experience with implementing and managing Azure security features, such as Azure Security Center and Azure Key Vault

Proven experience working in a professional service environment

Ability to develop appropriate data solutions that balance timescales, quality, and cost

Experience of working within a framework of change management